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All Journal Jurnal Simetris VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro AcTion: Aceh Nutrition Journal J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Teknologi Informasi dan Multimedia Jurnal Teknokes
Puspitasari, Trismayanti Dwi
Department Of Information Technology, Politeknik Negeri Jember, Jember, Indonesia
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Design Modeling System of Achievement Motivation of Vocational Student Using Radian Basis Function Network Algorithm Bety Etikasari; Khafidurrohman Agustianto; Trismayanti Dwi Puspitasari; Nanik Anita Mukhlisoh
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2017): October 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (936.715 KB) | DOI: 10.30870/volt.v2i2.2145

Abstract

Achievement motivation is one of factor that can influence a person perform to doing their best activities to achieve the goal that has been set. Achievement of learning outcomes that is student ability skills determine from student involvement in the learning process, so the student must be active during their study process. Because of that, by knowing the achievement motivation level is important for the teacher to create the learning environment which suitable to student characteristic so the achievement motivation can be empowered during the learning process. This study, implemented the Radian Basis Function Network (RFBN) to develop the modeling system of student achievement motivation that are high, middle, and low achievement motivation. The study result showed the system accuracy value of 93,09%. Modeling resulted that this student achievement motivation level can be used in education as a reference in determining the learning process for vocational student so that the learning becomes effective and the learning goal can be achieved.
Light-weight MobileNet for Fast Detection of COVID-19 Muhammad Hafidh Firmansyah; Seok-Joo Koh; Wahyu Kurnia Dewanto; Trismayanti Dwi Puspitasari
Jurnal Teknologi Informasi dan Terapan Vol 8 No 1 (2021)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v8i1.214

Abstract

The machine learning models based on Convolutional Neural Networks (CNNs) can be effectively used for detection and recognition of objects, such as Corona Virus Disease 19 (COVID-19). In particular, the MobileNet and Single Shot multi-box Detector (SSD) have recently been proposed as the machine learning model for object detection. However, there are still some challenges for deployment of such architectures on the embedded devices, due to the limited computational power. Another problem is that the accuracy of the associated machine learning model may be decreased, depending on the number of concerned parameters and layers. This paper proposes a light-weight MobileNet (LMN) architecture that can be used to improve the accuracy of the machine learning model, with a small number of layers and lower computation time, compared to the existing models. By experimentation, we show that the proposed LMN model can be effectively used for detection of COVID-19 virus. The proposed LMN can achieve the accuracy of 98% with the file size of 27.8 Mbits by replacing the standard CNN layers with separable convolutional layers.
Android-Based Application for Children’s Growth Monitoring as a Complement for Child Development Card Pramuditha Shinta Dewi Puspitasari; Bety Etikasari; Trismayanti Dwi Puspitasari; Ria Chandra Kartika; Lukie Perdanasari; Arvita Agus Kurniasari
Jurnal Teknokes Vol 15 No 1 (2022): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i1.7

Abstract

Posyandu is a community activity center to provide health services and family planning. Routine monthly weighing for toddlers is one of the activities carried out by the Posyandu. This activity aims to detect early childhood growth disorders to address these problems quickly and precisely. However, since the Covid-19 pandemic, the toddler Posyandu, held regularly every month, has been temporarily suspended until the pandemic ends. This situation causes monitoring of toddlers' growth, and development cannot be done. Therefore we need a mechanism for monitoring child growth and development that can be done online via a smartphone. In previous research has implemented several desktop, web, and mobile-based information systems, but they do not yet have complex features such as maternal and child health information management. The purpose of this research is to create an android-based application in the form of an information system for Child Development Posyandu, which will contain several features such as immunization schedules, monitoring of child growth and development, health news. This application development uses the design sprint method. The test results with the User Acceptance Test method of this android application to user respondents show that 80% of the applications are in a Good category and can be used at Posyandu.
PENGATURAN MENU MAKAN HARIAN BAGI KESEHATAN BALITA MENGGUNAKAN ALGORITMA GENETIKA Vini Yolanda Putri; Dayu Agastya Rani; Dyan Anugerah Ramadani; Al Rizal Fikri Sulthoni Arrahman; Wildan Bakti Nugroho; Nur Hidayatul Afidah; Moh. Ziyaul Haq Ramadhani; Trismayanti Dwi Puspitasari
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 2 (2019): JURNAL SIMETRIS VOLUME 10 NO 2 TAHUN 2019
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (811.467 KB) | DOI: 10.24176/simet.v10i2.3392

Abstract

Balita  merupakan  masa  terjadinya  proses  pertumbuhan  dan  perkembangan dengan  cepat.  Jika kebutuhan gizi balita tidak terpenuhi, maka dikhawatirkan tidak tercapainya pertumbuhan dan perkembangan yang optimal. Hal tersebut dapat menyebabkan masalah kekurangan gizi, yang selanjutnya dapat beresiko menurunkan derajat kesehatan. Berdasarkan hal tersebut, perlu dirancang sebuah sistem informasi untuk mengatur kebutuhan gizi pada kesehatan balita. Metode yang digunakan ialah algoritma genetika, algoritma ini bekerja dengan sebuah populasi yang terdiri dari individu-individu. Dalam menu makan yang akan disusun, kromosom hanya akan mengkodekan jenis karbohidrat, protein, dan lemak. Pada   metode   ini,   seleksi   yang   digunakan   menggunakan  metode   elitism   selection   dan   mutasi menggunakan reciprocal exchange mutation. Diperoleh kebutuhan total kalori sebesar 115.76 kalori, kebutuhan karbohidrat sebesar 209 gram, kebutuhan protein sebesar 28.7 gram dan kebutuhan lemak sebesar 25,32 gram berdasarkan hasil dari proses crossover, mutasi dan seleksi pada generasi ke-2 dengan nilai rata-rata fitness 0,0879.
Pengukuran Karakteristik Lahan Berbasis Internet of Things Lukie Perdanasari; Arvita Agus Kurniasari; Trismayanti Dwi Puspitasari; Bety Etikasari; Denny Trias Utomo; Jumiatun Jumiatun; Octavian Yudha Mahendra
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 3 (2021): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i3.170

Abstract

Climate change is one of the factors that affect crop production, so it is necessary to implement strategies and technologies to maintain the availability of cereal crops in Indonesia. It is necessary to prepare the land for the early planting process and monitoring plant growth in order to produce maximum crops. Utilization of the Internet of Things (IoT) can be used to monitor soil temperature and pH in real time, so hope for the long term it can increase crop production. The purpose of this research is to make a prototype design system with Internet of Things (IoT) technology to obtain temperature and pH data. This tool will test the functional accuracy. This research for measuring the characteristics of land based on IOT uses a prototype method consisting of Communication, Quick Plan, Modelling Quick Design, Construction of prototype, and Development Delivery & Feedback. Assembling the Wemos microcontroller, D1 R1, Breadboard, DS18B20 temperature sensor, 4700 Ohm Resistor, soil pH sensor, and 16x2 I2C LCD and connected using jumper cables with application control will be implemented into Wemos D1 R1 using the C++ programming language using Arduino IDE. Testing of the tool is carried out to ensure that the sensor is functionally able to read the temperature and pH of the soil correctly. Testing used black box method and was implemented in 5 land axis points at Politeknik Negeri Jember. The results used tools and litmus paper showed the same value. The conclusion and benefit of detecting land characteristics using the Wemos microcontroller showed more detailed measurement results with numbers behind the comma and a tool accuration rate of 100%.
Peningkatan Ketrampilan Peternak Susu Perah dalam Proses Penanganan Pemerahan Susu di Mitra Produksi Susu Pasteurisasi Berbasis Teknologi Medan Pulsa Listrik Tegangan Tinggi Feby Erawantini; Budi Hariono; Azamataufiq Budiprasojo; Trismayanti Dwi Puspitasari
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 5 No 2 (2020): Desember
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-dinamika.v5i2.2394

Abstract

Susu merupakan bahan pangan sempurna karena mempunyai nilai gizi lebih baik dibandingkan dengan nilai gizi sumber pangan lainnya. Produk susu mempunyai sifat tidak tahan lama dan mudah rusak (perishable food) dan berpotensi mengandung bahaya (potentially hazardous food/PHF). Susu diperah dari ambing ternak sehat tidak bebas dari mikroba dan mengandung sampai 500 organisme/ml, jika ambing pada ternak sakit maka jumlah mikroorganisme dapat meningkat menjadi 20.000 mikroorganisme/ml. Ambing susu ternak dapat menjadi sumber pencemaran mikroorganisme, karena mikroorganisme dapat tumbuh dan berkembang sedikit agak jauh kedalam puting yang tidak tertutup dan biasanya dalam kondisi basah. Mikroorganisme terbawa sebagai sumber pencemaran, ketika susu mulai diperah, bagian pertama dari pemerahan biasanya dibuang karena dapat mengandung hingga 50.000 mikroorganisme/ml. Sumber pencemaran lain dapat berasal dari lingkungan kandang (lantai, udara, debu dan air), tubuh dan kotoran kambing, pakan, peralatan pemerahan, pekerja, pencemaran selama penyimpanan dan pemasaran. Kandungan mikroorganisme pada susu merupakan fungsi dari waktu, penanganan susu menentukan jenis mikroorganisme yang terbawa, sedangkan suhu penyimpanan menentukan kecepatan perkembangbiakan mikroorganisme. Kualitas bahan baku susu menjadi faktor utama keberhasilan penerapan teknologi pasteurisasi susu metode medan pulsa listrik tegangan tinggi. Metode yang digunakan untuk menghitung jumlah mikroba adalah Total Plate Count (TPC) sesuai SNI 2897-2008. Hasil yang diperoleh dengan menerapkan SOP pemerahan susu diperoleh jumlah mikroba pada susu segar sebesar 6,91 x 102 cfu/ml dan hasil susu yang telah dipasteurisasi dengan teknologi HPEF sebesar 1,96 x 102 cfu/ml atau menurunkan total mikroba sebesar 76%.
Perbedaan nilai gizi susu sapi setelah pasteurisasi non termal dengan HPEF (High Pulsed Electric Field) Budi Hariono; Feby Erawantini; Azamataufiq Budiprasojo; Trismayanti Dwi Puspitasari
AcTion: Aceh Nutrition Journal Vol 6, No 2 (2021): November
Publisher : Jurusan Gizi Politeknik Kesehatan Kemenkes Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30867/action.v6i2.531

Abstract

Cow's milk is the secretion of a cow that has perfect nutritional value but is easily damaged. Efforts to extend the shelf life of milk, milk is usually stored in a box freezer or by thermal pasteurization. However, this thermal processing can change the smell, taste, colour and reduce the nutritional content of milk, especially protein, which is a heat resistant substance. Alternative non-thermal technology that HPEF can apply. The method of this research was descriptive, describing the nutritional value of milk before and after had been HPEF Implementation. After non-thermal pasteurized cow's milk with HPEF, the nutritional value of cow's milk was better than fresh cow's milk. In unprocessed milk with HPEF, the fat content decreased by 3,77%. Protein content increased 0,15%, lactose 0,29%, and increased mineral content 0,05%. The TPC test on milk showed 6,91 x 102 cfu/ml. HPEF implementation can effectively reduce fat levels, increase protein, lactose levels, and increase mineral levels in milk. Non-thermal pasteurized cow's milk with HPEF can be immediately ready for consumption
Sistem Informasi Diagnosis Ikterus Neonatorum Menggunakan Logika Fuzzy Jazil Ramadhanty; Trismayanti Dwi Puspitasari
Jurnal Teknologi Informasi dan Terapan Vol 9 No 1 (2022)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v8i2.187

Abstract

Angka Kematian Bayi (AKB) di Indonesia masih tergolong cukup tinggi dibandingkan negara – negara Asia Tenggara. Hal tersebut perlu mendapatkan perhatian karena suatu negara dapat dinilai tingkat kesehatannya dari AKB. Salah satu penyebab AKB yang masih tinggi yaitu penyakit kuning pada bayi (Ikterus Neonatorum). Bayi dapat mengalami ikterus fisiologis (normal) maupun patologis (parah) bergantung dari gejala yang ditimbulkan. Dari kedua jenis ikterus tersebut sulit membedakan antara ikterus normal dan parah tanpa melakukan pemeriksaan lebih lanjut sehingga sebagian besar masyarakat salah dalam melakukan penanganan awal. Berdasarkan permasalahan tersebut, penulis akan membuat sistem informasi untuk diagnosis Ikterus Neonatorum. Dengan sistem tersebut, masyarakat mendapatkan edukasi mengenai ikterus neonatorum dan dapat mengetahui tingkat keparahan yang diderita oleh bayi. Sistem juga memberikan alternatif solusi yang dapat dilakukan saat bayi mengalami ikterus sesuai dengan tingkat keparahan. Penulis menggunakan logika fuzzy dengan metode sugeno untuk membantu melakukan diagnosis. Hasil yang ditampilkan yaitu berupa prosentase tingkat keparahan ikterus neonatorum. Setelah melakukan pengujian blackbox didapatkan hasil bahwa sistem sudah dapat bejalan sesuai dengan skenario yang diharapkan. Untuk pengujian UAT (User Acceptance Testing) didapatkan hasil sebesar 77,86 % yang dapat diartikan bahwa sistem sudah bisa diterima dengan baik oleh pengguna.
Sistem Pakar Identifikasi Hama Dan Penyakit Pada Tumbuhan Kakao Menggunakan Metode BFS (Breadth First Search) Dan Certainty Factor Berbasis Android Gilang Rahmadhan; Fakhrusy Zakariyya; Trismayanti Dwi Puspitasari
Jurnal Teknologi Informasi dan Terapan Vol 9 No 2 (2022)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v9i2.270

Abstract

Abstract - Cocoa (Theobroma cacao L.) is a plantation commodity other than coffee that is suitable for smallholder plantations, because this plant can produce throughout the year, so it can be a source of daily or weekly income for cocoa farmers. One of the factors that affect the decline in productivity is pests and diseases. Diseases and pests of cocoa plants can be distinguished based on signs and symptoms. Symptoms of pests and diseases can be observed with the naked eye which characterizes the type that causes these pests and diseases. To overcome these problems, an expert system was created to identify diseases and pests on cocoa plants using the BFS (Breadth First Search) method and certainty factor. The BFS (Breadth First Search) method is used in the manufacture of this system because it can perform periodic search for symptoms and search broadly for each symptom. In addition, the certainty factor method is added to the making of this system to calculate the certainty value of the identification results, so finding conclusions or results from identification using the BFS (Breadth First Search) method will be more accurate with the certainty value of the certainty factor method.
Sistem Informasi Diagnosis Ikterus Neonatorum Menggunakan Metode Fuzzy Tsukamoto Arvita Agus Kurniasari; Trismayanti Dwi Puspitasari; Ria Chandra Kartika
Jurnal Teknologi Informasi dan Terapan Vol 9 No 2 (2022)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v9i2.274

Abstract

Angka Kematian Bayi (AKB) di Indonesia masih cukup tinggi dibandingkan negara-negara Asia Tenggara. Hal ini perlu mendapat perhatian karena suatu negara dapat dinilai dari tingkat kesehatannya dari AKB. Salah satu penyebab AKB yang masih tinggi adalah penyakit kuning pada bayi (Icterus Neonatorum). Bayi dapat mengalami ikterus fisiologis (normal) dan patologis (parah) tergantung dari gejala yang ditimbulkan. Dari kedua jenis penyakit kuning tersebut, sulit untuk membedakan antara penyakit kuning yang normal dan yang parah tanpa pemeriksaan lebih lanjut sehingga kebanyakan orang salah dalam melakukan pengobatan awal. Berdasarkan permasalahan tersebut akan dibuat suatu sistem informasi untuk diagnosis penyakit kuning pada neonatus dengan fuzzy tsukamoto. Dengan sistem ini, masyarakat mendapatkan edukasi tentang penyakit kuning neonatus dan dapat mengetahui tingkat keparahan bayi yang diderita. Sistem tersebut juga memberikan alternatif solusi yang dapat dilakukan saat bayi mengalami penyakit kuning sesuai dengan tingkat keparahannya. Penelitian ini menggunakan logika fuzzy dengan metode Tsukamoto untuk membantu melakukan diagnosa. Hasil yang ditampilkan berupa persentase keparahan ikterus neonatorum. Setelah dilakukan pengujian akurasi kepada pakar didapatkan hasil 70% sistem dapat berjalan sesuai dengan skenario yang diharapkan.
Co-Authors Agustianto, Khafidurrohman Al Rizal Fikri Sulthoni Arrahman Arvita Agus Kurniasari Azamataufiq Budiprasojo Azamataufiq Budiprasojo Bety Etikasari Bety Etikasari Budi Hariono Dayu Agastya Rani Denny Trias Utomo Dyan Anugerah Ramadani Etikasari, Bety Fakhrusy Zakariyya Feby Erawantini Feby Erawantini Gilang Rahmadhan Jazil Ramadhanty Jumiatun Jumiatun Khafidurrohman Agustianto Lukie Perdanasari Moh. Ziyaul Haq Ramadhani Muhammad Hafidh Firmansyah Mukhlisoh, Nanik Anita Nanik Anita Mukhlisoh Nur Hidayatul Afidah Octavian Yudha Mahendra Pramuditha Shinta Dewi Puspitasari Ratih Ayuninghemi, Ratih Ria Chandra Kartika Ria Chandra Kartika Seok-Joo Koh Vini Yolanda Putri Wahyu Kurnia Dewanto Wildan Bakti Nugroho