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All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Pendidikan Matematika dan IPA Jurnal Visi Ilmu Pendidikan Jurnal Mentari KOMUNITAS: INTERNATIONAL JOURNAL OF INDONESIAN SOCIETY AND CULTURE PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Jurnal Riset Mahasiswa Akuntansi (JRMA) At-Taradhi: Jurnal Studi Ekonomi Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan AKSIOMA: Jurnal Program Studi Pendidikan Matematika Phi : Jurnal Pendidikan Fisika dan Terapan Jurnal Daya Matematis Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) ATAVISME JURNAL ILMIAH KAJIAN SASTRA El-Mashlahah Berkala Ilmiah Pendidikan Fisika HISTOGRAM: Jurnal Pendidikan Matematika Jurnal Ilmiah Peuradeun JRPM (Jurnal Review Pembelajaran Matematika) JTERA (Jurnal Teknologi Rekayasa) Agrotekma: Jurnal Agroteknologi dan Ilmu Pertanian Proceedings of the 1st UR International Conference on Educational Sciences CSRID (Computer Science Research and Its Development Journal) Media Pendidikan Matematika Jurnal Ilmiah Pendidikan Matematika Al Qalasadi Al-Azkiya : Jurnal Pendidikan MI/SD Journal of K6 Education and Management Community Empowerment Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ
Maimunah Maimunah
Universitas Airlangga
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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IDENTIFIKASI JENIS DAUN TANAMAN OBAT HIPERTENSI BERDASARKAN CITRA RGB MENGGUNAKAN JARINGAN SYARAF TIRUAN Jamaliah, Imma; Whidhiasih, Retno Nugroho; Maimunah, Maimunah
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 5 No 1 (2017): Maret 2017
Publisher : LPPM Universitas Islam 45 Bekasi

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Abstract

ABSTRACT Identify the type of plant leaves hypertension drug necessary to distinguish between types of leaves that are still difficult to distinguish from the cloud or do not understand the herbal medicine. How to distinguish the types of leaves there is one way for people to understand first by using direct eye. This study aims to make identification of the type of plant leaves hypertension drug based RGB image using Artificial Neural Networks. The first extraction into RGB image data, further training to the training data. Weights obtained were tested using the test data. The experiment resulted in recognition capabilities of each leaf that leaves 100%, 80% cat whiskers leaves, celery leaves 100%, 40% avocado leaves, soursop leaves 60%. Keyword : identifiy, type of plant leaves hypertension medicine, rgb, neural network. ABSTRAK Identifikasi daun tanaman obat hipertensi diperlukan untuk membedakan jenis daun yang masih menjadi kesulitan bagi m dibedakan orang awan atau tidak mengerti obat herbal. Cara membedakan jenis daun pada umumnya dilakukan dengan cara pengamatan visual secara langsung. Penelitian ini bertujuan untuk melakukan identifikasi jenis daun tanaman obat hipertensi berdasarkan citra RGB menggunakan jaringan syaraf tiruan. Jenis daun yang digunakan adalah daun salam,daun kumis kucing,daun seledri,daun alpukat dan daun sirsak. Pertama kali dilakukan ekstraksi data citra menjadi RGB, selanjutnya dilakukan training terhadap data training. Bobot yang didapatkan diuji menggunakan data uji. Percobaan menghasilkan kemampuan pengenalan dari masing-masing daun yaitu daun salam 100%, daun kumis kucing 80%, daun seledri 100%, daun alpukat 40%, daun sirsak 60%. Keyword :identifikasi,daun tanaman obat hipertensi, citra rgb, jaringan syaraf tiruan
SISTEM PAKAR IDENTIFIKASI CIRI BATIK MENGGUNAKAN METODE FORWARD CHAINING Aziz, Barliansyah Awaluddin; Maimunah, Maimunah
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 5 No 1 (2017): Maret 2017
Publisher : LPPM Universitas Islam 45 Bekasi

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Abstract

ABSTRACT Along with the times the community's understanding of the batik increasingly diverse and many are starting to think with the logic of modern, while today a lot of the general public who do not know how to distinguish because of batik motives and characteristics of batik. The purpose of this final project is to build an expert system that can identify the characteristics of batik correctly based on the manufacturing process and physical characteristics batik. This expert system developed using forward chaining method with the programming language PHP and MySQL. Batik expert system identification characteristics showing identification results based on searches made by the user to do a question and answer session with the system. This expert system is able to identify batik based production if-then rules (if-then) and decision tree diagram has three kinds of data batik and 14 data is the process of making and physical characteristics. Keyword : batik, expert system, forward chaining, production rules. ABSTRAK Seiring dengan perkembangan zaman pemahaman masyarakat mengenai batik semakin beragam dan banyak yang mulai berfikir dengan logika modern, adapun hingga saat ini banyak masyarakat umum yang belum mengetahui cara membedakan batik karena banyaknya motif dan ciri-ciri dari batik tersebut. Tujuan dari Tugas Akhir ini adalah membangun sistem pakar yang dapat mengidentifikasi ciri batik dengan benar berdasarkan proses pembuatan dan ciri fisik batik. Sistem pakar ini dibangun menggunakan metode inferensi forward chaining dengan bahasa pemrograman PHP dan MySQL. Sistem pakar identifikasi ciri batik ini menampilkan hasil identifikasi berdasarkan penelusuran yang dilakukan oleh pengguna dengan melakukan tanya jawab dengan sistem. Sistem pakar ini mampu mengidentifikasi ciri batik berdasarkan kaidah produksi jika-maka (if-then) dan diagram pohon keputusan yang memiliki 3 jenis data batik dan 14 data proses pembuatan dan ciri fisik. Kata Kunci : batik, sistem pakar, forward chaining, kaidah produksi.
Identifikasi Beras Berdasarkan Warna Menggunakan Adaptive Neuro Fuzzy Inference System Alfianto, Muhammad Gilang; Whidhiasih, Retno Nugroho; Maimunah, Maimunah
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 5 No 2 (2017): September 2017
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v5i2.267

Abstract

ABSTRACT Rice is the main food ingredient for Indonesian people. Through the National Standardization Agency, The Government has established a general requirement of rice, that is good quality rice which has a white color of whitewashed and low-quality rice which has a yellowish color (SNI 6128: 2015). To determine the different color of good quality rice and the low-quality one it often happens of wrong identification caused by different perception on the color. This problem can be solved by creating the system to identify good quality rice of IR64 and the low-quality one. The data used are primary data, in the form of good quality rice with grain image of 50 and the low-quality one is 50. The observation data used for trial is La * b * and Sa * b * using Adaptive Neuro-Fuzzy Inference Systems ( ANFIS). The observation variable Sa * b * produce higher identification compared to La*b*, with accuracy value is 90%. Keyword : rice, quality,color,classification ABSTRAK Beras merupakan bahan pangan utama masyarakat Indonesia. Pemerintah melalui badan Standarisasi Nasional telah menetapkan syarat umum beras, yaitu beras berkualitas baik yang mempunyai warna putih mengapur dan beras berkualitas rusak yang mempunyai warna kekuningan (SNI 6128:2015). Untuk menentukan perbedaan warna beras berkualitas baik dan rusak seringkali terjadi kesalahan identifikasi yang dikarenakan perbedaan persepsi warna. Hal tersebut dapat diatasi dengan membuat sistem untuk mengidentifikasi butir beras IR 64 yang berkualitas baik dan rusak. Data yang digunakan adalah data primer, yang berupa gambar butir beras berkualitas baik sebanyak 50 dan butir beras beras berkualitas rusak sebanyak 50. Variabel penduga yang dicobakan adalah La*b* dan Sa*b* dengan menggunakan metode Adaptive Neuro Fuzzy Inference Systems (ANFIS). Variabel penduga Sa*b* menghasilkan identifikasi yang lebih tinggi dibandingakan La*b* dengan nilai akurasi sebesar 90%. Kata kunci : beras, kualitas,warna,klasifikasi
Klasifikasi Tahap Kematangan Pisang Ambon Berdasarkan Warna Menggunakan Naive Bayes Yulianto, Dwi; Whidhiasih, Retno Nugroho; Maimunah, Maimunah
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 5 No 2 (2017): September 2017
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v5i2.268

Abstract

ABSTRACT Banana fruit is a commodity that contributes a great value to both national and international fruit production achievement. The government through the National Standardization Agency establishes standards to maintain the quality of bananas. The purpose of this Project is to classify the stages of maturity of Ambon banana base on the color index using Naïve Bayes method in accordance with the regulations of SNI 7422:2009. Naive Bayes is used as a method in the classification process by comparing the probability values generated from the variable value of each model to determine the stage of Ambon banana maturity. The data used is the primary data image of 105 pieces of Ambon banana. By using 3 models which consists of different variables obtained the same greatest average accuracy by using the 2nd model which has 9 variable values (r, g, b, v, * a, * b, entropy, energy, and homogeneity) and the 3rd model has 7 variable values (r, g, b, v , * a, entropy and homogeneity) that is 90.48%. Keywords: banana maturity, classification, image processing ABSTRAK Buah pisang merupakan komoditas yang memberikan kontribusi besar terhadap angka produksi buah nasional maupun internasional. Pemerintah melalui Badan Standarisasi Nasional menetapkan standar untuk buah pisang, menjaga mutu buah pisang. Tujuan dari penelitian ini adalah klasifikasi tahapan kematangan dari buah pisang ambon berdasarkan indeks warna menggunakan metode Naïve Bayes sesuai dengan SNI 7422:2009. Naive bayes digunakan sebagai metode dalam proses pengklasifikasian dengan cara membandingkan nilai probabilitas yang dihasilkan dari nilai variabel penduga setiap model untuk menentukan tahap kematangan pisang ambon. Data yang digunakan adalah data primer citra pisang ambon sebanyak 105. Dengan menggunakan 3 buah model yang terdiri dari variabel penduga yang berbeda didapatkan akurasi rata-rata terbesar yang sama yaitu dengan menggunakan model ke-2 yang mempunyai 9 nilai variabel (r, g, b, v, *a, *b, entropi, energi, dan homogenitas) dan model ke-3 yang mempunyai 7 nilai variabel (r, g, b, v, *a, entropi dan homogenitas) yaitu sebesar 90.48%. Kata Kunci : kematangan pisang, klasifikasi, pengolahan citra
Pengaruh Pemberian Pupuk Organik Cair Terhadap Pertumbuhan Dan Produksi Tiga Jenis Tanaman Sayuran Dengan Sistem Aeroponik Sianipar, Saut Marodjahan; Pane, Erwin; Maimunah, Maimunah
Agrotekma: Jurnal Agroteknologi dan Ilmu Pertanian Vol 2, No 1 (2017): Jurnal Agrotekma Desember
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/agr.v2i1.1107

Abstract

Peluang kebutuhan akan sayuran berkualitaas sangat terbuka dengan makin banyaknya masyarakat yang berbelanja ke pasar swalayan. Diversifikasi jenis sayuran perlu dilaksanakan untuk memenuhi berbagai permintaan pasar. Hingga saat ini jenis sayuran yang banyak dibudidayakan secara aeroponik antara lain berbagai kultivar selada (lettuce keriting hijau, cos/romaine, butterhead, batavia, lollo rossa, iceberg, head lettuce), pakchoy hijau dan putih, caysim, dan kailan serta horenzo yang baru mulai dikembangan. Kangkung dan bayam juga dapat diusahakan secara aeroponik.  Tujuan dari penelitian ini untuk melihat bagaimana pengaruh pemberian pupuk organik cair terhadap pertumbuhan dan produksi tanaman sayur-sayuran dengan sistem aeroponik. Metode penelitian yang digunakan adalah Rancangan Acak Lengkap (RAL) Faktorial, yaitu: 3 x 4 dengan 3 kali ulangan dan setiap ulangan terdiri dari 3 konsentrasi. Berdasarkan penelitian yang telah dilakukan dapat di simpulkan bahwa pemberian pupuk cair Herbafarm tidak memberikan pengaruh yang nyata untuk semua jenis tanaman yang ditanam (sawi, kangkung, bayam).
Respon Penggunaan Zat Perangsang Tumbuh Sintetik Dan Alami Pada Petumbuhan Stek Tanaman Hias Lidah Mertua (Sansevieria spp ) Hadi Reka Utama, Muhamad; Hasibuan, Syahbudin; Maimunah, Maimunah
Agrotekma: Jurnal Agroteknologi dan Ilmu Pertanian Vol 1, No 2 (2017): Jurnal Agrotekma Juni
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/agr.v1i2.1133

Abstract

Penelitian bertujuan untuk mengetahui respon tanaman lidah mertua terhadap hormon auxin dan ekstrak tunas air kakao yang berasal dari cupon atau tunas air kakao yang biasanya tidak dimanfaatkan pada pembudidayaan tanaman kakao. Metode penelitian menggunakan Rancangan Acak Lengkap ( RAL ) faktorial dengan 2 ulangan. Faktor yang diteliti adalah ekstrak tunas air kakao dengan bahan baku cupon dengan 3 taraf, dan hormon auxin dengan merek dagang atonik dengan 3 taraf.      Dari hasil penelitian diperoleh hasil sebagai berikut, adanya pengaruh berbagai perlakuan penggunaan berbagai konsentrasi Zat Perangsang Tumbuh Sintetik dan Alami terhadap pertumbuhan stek tanaman hias Lidah Mertua menunjukkan persentasi hidup yang nyata 91,7% hidup hingga 12 minggu.Tidak ada pengaruh terhadap pertumbuhan yang menunjukan beda nyata dan sangat nyata dalam parameter yang diamati dari setiap penggunaan berbagai konsentrasi ZPT sintetik dan alami terhadap pertumbuhan stek tanaman hias lidah Mertua.
SELF REGULATED LEARNING OF VOCATIONAL STUDENTS IN MATHEMATICS LEARNING DURING COVID-19 PANDEMIC Lestari, Winda; Maimunah, Maimunah; Roza, Yenita
Jurnal Pendidikan Matematika dan IPA Vol 13, No 1 (2022): January 2022
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.56 KB) | DOI: 10.26418/jpmipa.v13i1.46768

Abstract

The Covid-19 pandemic that is currently sweeping the world, including Indonesia, made the government make the decision to implement PSBB (large-scale social restrictions) by asking people to stay at home, including the learning process at school. The learning process carried out online or online indirectly makes students adapt to the new learning process. Students are required to be able to do self-regulation in learning (self regulated learning). Self regulated learning is important for students, especially when learning is carried out online. This study aims to obtain a picture of self-regulated learning of class XI SMK students during the Covid-19 pandemic. This research is a quantitative-descriptive study using a survey method. The instrument used was a self-regulated learning questionnaire which had 23 statement items. Data collection was carried out using an online questionnaire on google form which was given to students of class XI Fashion Design Vocational Schools. The results of the SRL research for students of class XI Fashion Design at SMK Negeri 3 Pekanbaru during the pandemic were 17% students with high SRL, 53% students with moderate SRL and 30% students with low SRL. tudent's SRL is low on indicators of evaluating learning processes and outcomes as well as self-efficacy (self-concept), this is influenced by individual, behavioral and environmental factors.
Analysis of Student Learning Outcomes of Grade X SMK on the Exponential Material Based on Emotional Intelligence Adawiyah, Nur Rabiatul; Roza, Yenita; Maimunah, Maimunah
Jurnal Pendidikan Matematika dan IPA Vol 12, No 1 (2021): January 2021
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.244 KB) | DOI: 10.26418/jpmipa.v12i1.43178

Abstract

The level of emotional intelligence in students is different, and the learning outcomes obtained from the material are also different. This study was aimed to describe SMK Negeri 1 Mandau students' learning outcomes on the exponential material based on emotional intelligence. The analysis technique used was descriptive qualitative. The subjects analyzed in this study were class X APPS, with 34 students. The data collection's instruments used were questions in the form of essays related to the exponential material and emotional intelligence questionnaires. The study results were obtained from the questionnaires to show the three types of emotional intelligence categories in students; low, medium, and high categories. In varied learning outcomes, some students had a high level of emotional intelligence with satisfactory learning outcomes; some students with moderate emotional intelligence also had satisfactory learning outcomes; other students with moderate emotional intelligence acquired unsatisfactory learning outcomes.
ANALYSIS OF NEEDS FOR THE DEVELOPMENT OF ETHNOMATHEMATIC E-MODULES BASED ON RIAU MALAY CULTURE TO FACILITATE MATHEMATIC LITERATURE ABILITY OF SMA/MA STUDENTS Damayanti, Nofita; Roza, Yenita; Maimunah, Maimunah
Jurnal Pendidikan Matematika dan IPA Vol 13, No 2 (2022): July 2022
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.426 KB) | DOI: 10.26418/jpmipa.v13i2.50396

Abstract

This research aims to determine the needs of teachers and students before the formulation of Riau Malay based ethnomatematics e-module to facilitate student"™s mathematical literacy skills. This research used qualitative descriptive methods that are oriented towards the development of a product. The subject of this research were two mathematics teacher and students of class XI of SMA Nurul Falah Pekanbaru. Data were collected by using interview method and questionnaire distribution. The data obtained were analayzed into three aspects which are analysis of curriculum, analysis of students, and analysis of materials. The result shows that the curriculum that is being used is curriculum 2013. Teaching materials that are being used are textbooks from Erlangga publisher. Result of student"™s analysis shows that 85,7% of students need the exercise about literacy and numeracy in matehmatics subject. 71,4% of students agree that literacy questions in mathematics subjects that contain elements of Riau Malay culture will increase their interest in understanding the problem. The result of this research shows that it is necessary to develop an ethnomathematics e-module based on Riau Malay culture to facilitate student"™s mathematical literacy skills.
Error Analysis of Islamic Primary School (MTs) Students in Resolving Questions on the Materials of Cartesian Coordinate With Malay Culture Nuance in Riau Bahrin, Bahrin; Maimunah, Maimunah; Roza, Yenita
Jurnal Pendidikan Matematika dan IPA Vol 12, No 1 (2021): January 2021
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.261 KB) | DOI: 10.26418/jpmipa.v12i1.43145

Abstract

Students experience problems while working in Math, with full of difficulties. They made mistakes in the process of solving questions. The error process that occurred in students leads to the low achievement of the learning outcomes. This research aimed to investigate the mistakes made by MTs students in working on the questions of the Cartesian coordinate integrated with Malay cultural nuances in Riau Province. The study was conducted at MTs in the odd semester of the 2019/2020 academic year. A descriptive approach was used as a research method with a purposive sampling technique. This technique used a test and interview to collect research data.  The results of the study described that the errors faced by MTS NurulBilad students included: (1) 55% of misconceptions because students did not understand the concept in the material of Cartesian coordinate (2) procedural errors that 76% of students did not match the stages or steps in the process of drawing on the Cartesian coordinate. Based on the findings, it was hoped that the teacher emphasized more understanding about the concept of Cartesian coordinate.
Co-Authors Achmadi Achmadi Adawiyah, Nur Rabiatul Adifta, Engsas Diniati Alfiah , Nurul Hanifatul Alfiah, Nurul Alfianto, Muhammad Gilang Anggraeni, Maulina Rizky Anggraini, Yola Putri Anisa Putri Anita Setyowati Srie Gunarti Annisa Mahfuzah Anwar Made Apriani, Lili Dwi Aribowo Aribowo Aziz Setyawan Hidayat, Aziz Setyawan Aziz, Barliansyah Awaluddin Azzahra, Annisa Ari Bahrin Bahrin Baroqah, Lailatul Benrahman Cholis Sa’dijah Citra Marina, Citra Damayanti, Nofita Darmawan, Iman Budi Delfita, Ovemy Dewi Susanti Dwi Yulianto Endang Purwaningsih Erlinda , Reza Ena Erwin Pane, Erwin Farhaani , Padyan Fata Nidaul Khasanah Fauzandi, Fachri Ilman Fitria Suryatini Fitriyawany Fitriyawany Ghiffari, Afwan Hadi Reka Utama, Muhamad Herlawati Herlawati Hermantyo, Aulia Maharani Hikmah, Ainul Hurrahma, Mifta Ikhsan, Iqbal Farhan Ilamsyah Ilamsyah, Ilamsyah Ilham, Muhamad Irfandi, Awalia Irwan Raharja Jalinus, Jalinus Jamaliah, Imma jawahir, Jawahir Julaiwa, Siti Hawa Kartini Kartini Khainingsih, Fadilah Gustin Kurniawan , Febri Laksono, Aji Pujo Larasakti , Oqi Dyah lestari, winda Lintang, Anindita Masnia, Fakhriatul Mayangsari, Febry Mega Hayuningtyas Erwanti, Mega Hayuningtyas Meta Lica, Dika Putri Misbah Misbah Muhammad Yani, Muhammad Mulyana, Herlan Nur, Septia Pamungkas , Catur Prabowo, Restu Pradipta Agustina, Pradipta Purwanto Purwanto Putri Yuanita Putri, R.Iska Meili Rahmadya Trias Handayanto Retno Nugroho Whidhiasih Rini Dian Anggraini Sakti , Dio Laksmana Samsiana , Seta Santi, Indira Sartim Sartim, Sartim Setiyaningsih, Wiwik Setiyowati, Supami Wahyu Siahaan, Refania Sianipar, Saut Marodjahan Sisworo Suhadah, Mutia Suhermi, Suhermi Syahbudin Hasibuan Syarifah Nur Siregar Titi Solfitri Utomo, Sidik Priyo Wahyu Wahyu Wahyuni, Zulfa Whidiasih, Retno Nugroho Widiastuti, Ariska Putri Yanuarni, Reni Yenita Roza Yufentya, W Eggy Yuliana, Upi Yusuf Hadi, Yusuf Zada, Naufal Ammar