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Hambali Hambali
Center for Radioisotopes and Radiopharmaceuticals, National Nuclear Energy Agency Puspiptek, Serpong, Tangerang 15314, Indonesia
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ONLINE THESIS GUIDANCE INFORMATION SYSTEM (SI-BISA) TO IMPROVE THE EFFECTIVENESS OF THESIS GUIDANCE ACTIVITIES AT THE UNIVERSITY OF TECHNOLOGY MATARAM Juhartini, Juhartini; Arwidiyarti, Dwinita; Hambali, Hambali
Jurnal Pilar Nusa Mandiri Vol 17 No 2 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v17i2.2656

Abstract

The Covid-19 pandemic has hit the whole world since the beginning of 2020, making many activities unable to run as usual. Likewise, the thesis mentoring process, which is usually carried out face-to-face with the supervisor by the agreed schedule, is no longer possible due to an appeal from the government to work and study from home so that the mentoring process becomes constrained. Instead, the mentoring process through e-mail or WhatsApp application, where the supervisor will correct the thesis, provide notes for improvement, and send it back to students. E-mail and WhatsApp as media in the mentoring process is used. However, it will make it difficult for lecturers to find out recordings of the student. Besides, it is still possible for thesis files to be scattered or lost because there is only one student. The research aims to produce an online thesis guidance application called SI-BISA. The research was conducted using the Waterfall Model, resulting in the SI-BISA application in the PHP Programming Language with the CodeIgniter 4 Framework. The system design used the Unified Modeling Language and system testing using the Black Box Method. Given the long-lasting Covid-19 pandemic, an online thesis guidance application is very urgent. So that the thesis mentoring process can continue to run effectively even without face-to-face and the need to build an integrated information system to make it easier for supervisors to monitor the progress of their guidance students and improve the effectiveness and service of thesis guidance provided to students.
CLASSIFICATION OF LOMBOK SONGKET CLOTH IMAGE USING CONVOLUTION NEURAL NETWORK METHOD (CNN) Hambali, Hambali; Mahayadi, Mahayadi; Imran, Bahtiar
Jurnal Pilar Nusa Mandiri Vol 17 No 2 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v17i2.2705

Abstract

The diversity of tribes makes Indonesia rich in culture that characterizes it, one of which is traditional cloth. Through a variety of patterns and motifs that exist in traditional fabrics, reflecting the life, customs, and culture that exist in an area. Lombok is one of the areas that produces a typical songket cloth. The famous songket craft centers in Lombok are located in the Pringgasela area, Pringgasela District, Sade Village is in Pujut District, Central Lombok Regency and Sukarara is in Jonggat District, Central Lombok Regency. Each area of ​​the center for songket craftsmen has their own characteristics both in terms of the name, motif and texture. When viewed with the naked eye, the texture of each songket will look the same, to be able to know the differences in the texture of each songket, it is necessary to do a classification using computers or technology. Today's society still does not know much information about the textures of songket cloth. The method used to classify the typical Lombok songket in this study uses the Convolution Neural Network (CNN) method. The results obtained from the use of 64 datasets, with details of 40 types of Sade songket and 24 types of Pringgasela songket, after the dataset is trained it produces 86.36% accuracy, 87% precision, 86% recall, and 86% F1-Score. Keywords: Histogram Equalization, Convolution Neural Network, Songket Cloth.
DATA MINING USING RANDOM FOREST, NAÏVE BAYES, AND ADABOOST MODELS FOR PREDICTION AND CLASSIFICATION OF BENIGN AND MALIGNANT BREAST CANCER Imran, Bahtiar; Hambali, Hambali; Subki, Ahmad; Zaeniah, Zaeniah; Yani, Ahmad; Alfian, Muhammad Rijal
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2912

Abstract

This study predicts and classifies benign and malignant breast cancer using 3 classification models. The method used in this research is Random Forest, Naïve Bayes and AdaBoost. The prediction results get Random Forest = 100%, Naïve Bayes = 80% and AdaBoost = 80%. Results using Test and Score with Number of Folds 2, 5 and 10. Number of Folds 2 Random Forest model Accuracy = 95%, Precision = 95% and Recall = 95%, Naïve Bayes Accuracy = 93%, Precision = 93% and Recall 93%, AdaBoost Accuracy = 90%, Precision = 90% and Recall = 90%. With Number of Folds 5 with Random Forest = 96%, Precision = 96% and Recall 96%. Naïve Bayes Accuracy value = 94%, Precision = 94% and Recall = 94%, AdaBoost Accuracy value = 93%, Precision = 93% and Recall = 93%. With Number of Folds 10 Random Forest model = 96%, Precision = 96% and Recall 96%. Naïve Bayes Accuracy value = 94%, Precision = 94% and Recall = 94%, AdaBoost Accuracy value = 92%, Precision = 92% and Recall = 92%. Of the 3 models used, Random Forest got the best classification results compared to the others.
EARLY WARNING SYSTEM FOR FLOOD IN GUNUNGSARI DISTRICT BASED ON IOT WITH TELEGRAM BOT AS A WARNING MESSAGE SENDER Hambali, Hambali; Akbar, Ardiyallah; Yani, Ahmad
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3711

Abstract

Entering the rainy season with a high level of rainfall will have an impact on vulnerability to floods that will hit a number of areas in various parts of Indonesia. As is often the case in the Gunungsari Sub-district, West Lombok Regency, heavy rains that come early with high intensity for several days often occur, which causes flood disasters and the absence of an automatic system or tool that can detect flooding in the area so that people around the difficulty of detecting floods that come early and cause many people to lose their homes and property due to the flood disaster. The purpose of this study is to provide information related to signs before a flood disaster using the Raspberry Pi 4 as the main tool and the Hc-SR04 ultrasonic sensor as a tool for measuring the distance of an object, where this system can monitor the water level of the river, then disseminate information. related to the water level periodically via Telegram. The test results of the detection sensor system show that the level of accuracy in reading the water level with an average error of 0.48%, indicates that this IoT system has good accuracy.
Metode Story Telling dalam Meningkatkan Motivasi Belajar Sejarah Kebudayaan Islam Hambali, Hambali; Rozi, Fathor; Hayati, Hayati
AR-RIAYAH: Jurnal Pendidikan Dasar Vol 5, No 2 (2021)
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/jpd.v5i2.3424

Abstract

This study aims to analyze and examine the application of the Story Telling method as an effort to increase motivation to learn Islamic Cultural History. The research method used is a descriptive qualitative approach with the type of case study. The research location is in class 5 MI Nurul Mun'im, Paiton District, Probolinggo Regency. Meanwhile, the data collection instruments used in this study included direct observation and unstructured interview notes to support the completeness of the data. Data analysis techniques consist of collecting data, reducing data, presenting data, and then concluding these conclusions. The results obtained from the application of the storytelling method are student learning motivation in following the lesson, students are invited to understand the material in a fun way, namely by telling stories in front of the class. The implication is that students' learning motivation can be achieved by using variations in learning by the teacher so that students do not get bored in class.
TECHNOLOGY IN EDUCATION; TPACK AS AN APPROACH TO BECOMING A REVOLUTIONARY TEACHER IN THE DIGITAL AGE Hambali, Hambali; Rozi, Fathor; Mardiya, Mardiya
Academy of Education Journal Vol. 14 No. 2 (2023): Academy of Education Journal
Publisher : Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47200/aoej.v14i2.1646

Abstract

This study aims to analyze the readiness of educators as revolutionary teachers in the digitalization era through the TPACK (technology, pedagogy, content, knowledge) approach to Islamic Elementary School Teacher Education students and teachers at MI Al-Islamiyah Karanganyar Paiton. This study uses a qualitative approach with a case study type of research. Data collection techniques were carried out by interviews and observation. Data analysis techniques using data reduction, data presentation and drawing conclusions. The results of this study indicate that preparing to become a revolutionary teacher in the digital era takes several steps, namely; strengthening personal branding, increasing teacher competence TPACK and having tech savvy abilities. This research has implications with the use of the TPACK approach, can prepare themselves to become revolutionary teachers who are able to combine their knowledge with the rapid development of technology in this digital era.
TRADISI ANTAR PINANG PADA MASYARAKAT MELAYU DESA TANJUNG MEKAR KECAMATAN SAMBAS Hambali, Hambali
Borneo : Journal of Islamic Studies Vol. 4 No. 1 (2023): BORNEO: Journal of Islamic Studies
Publisher : Institut Agama Islam Sultan Muhammad Syafiuddin Sambas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37567/borneo.v4i1.2569

Abstract

The antar pinang tradition in this study is part of a series of traditions in Sambas Malay weddings, one of which is in Tanjung Mekar Village. This tradition is one of the local cultures that contains the noble values of the Sambas people. The aim of the research is to describe the procession of carrying out the antar pinang tradition and the symbolic meaning of this tradition. The method used is the historical method, which includes four stages: heuristics, verification, interpretation, and historiography. The research results showed that the traditional antar pinang procession begins with the opening, handover of goods, and closing. Meanwhile, the symbolic meaning of antar pinang is represented in the form of delivery goods such as a piece of betel nut, betel leaves, betel nut, potpourri, paddy and rice, candlenuts, nails, a set of clothes, a set of cosmetics, and a set of bedding.
Pengaruh PPKn Terhadap Pembentukan Warga Negara Global Siswa Kelas XI SMA Negeri 12 Pekanbaru Nabillah, Ella Alya’; Hambali, Hambali; Hardian, Mirza
JAMPARING: Jurnal Akuntansi Manajemen Pariwisata dan Pembelajaran Konseling Vol 2, No 1 (2024): Februari 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jamparing.v2i1.1853

Abstract

Tujuan penelitian ini adalah untuk mengetahui apakah terdapat pengaruh positif dari Pendidikan Pancasila dan Kewarganegaraan (PPKn) Terhadap Pembentukan Warga Negara Global Siswa Kelas XI SMA Negeri 12 Pekanbaru. Populasi dalam penelitian ini adalah Peserta Didik kelas XI SMA Negeri 12 Pekanbaru, terdiri dari 432 individu. Teknik penentuan sampel yang digunakan dalam penelitian ini adalah pengambilan sampel acak sederhana (Simple random sampling), dengan menggunakan 25% dari total populasi tanpa mempertimbangkan strata, jumlah responden dalam penelitian ini adalah 108 peserta didik secara acak. Dalam penelitian ini, metode analisis data yang digunakan adalah analisis Regresi Linear Sederhana dengan tes statistik numerik dari normalitas, linearitas, regresi linear sederhana, T, determinasi koefisien (R-Square), korelasi (R), dan hipotesis. Hasil dan temuan dari penelitian ini menujukkan bahwa Pendidikan Pancasila dan Kewarganegaraan memiliki pengaruh positif terhadap Pembentukan Warga Negara Global Siswa Kelas XI SMA Negeri 12 Pekanbaru.
Evaluasi Keselamatan dan Kesehatan Kerja (K3) pada Praktek Instalasi Penerangan Listrik di SMK Muhammadiyah 1 Padang As'ari, Abul Hasan; Hambali, Hambali
PAKAR Pendidikan Vol 21 No 2 (2023): Published in Juli 2023
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pakar.v21i2.445

Abstract

This research was motivated by the work attitudes of students in implementing K3 when practice in the practicum workshop was not going well. Students ignore the potential dangers of using Personal Protective Equipment (PPE), students who use practical equipment often experience injuries to students' hands or scratches on work objects due to improper use. This research aims to determine the evaluation of occupational safety and health (K3) in the practice of installing electrical lighting at SMK Muhammadiyah 1 Padang. The population in this study were all students of Electrical Lighting Installation Practice at SMK Muhammadiyah 1 Padang class XI and XII at SMK Muhammadiyah 1 Padang. This research is quantitative descriptive. The sampling technique in this research is total sampling. The analysis of this research is descriptive. In this research, the instruments used include questionnaires. Questionnaires were used in this research to collect data. In this study, the percentage score technique was used. The percentage score is used to determine the category of research results for each point and its indicators, variables and subvariables. Based on the percentage score, the average score for the occupational safety and health (K3) evaluation variable in the practice of installing electrical lighting at SMK Muhammadiyah 1 Padang is obtained, which consists of 30 questions, where the average score is 4 with a Respondent Achievement Level (TCR) of 85% . This shows that the evaluation of occupational safety and health (K3) in the practice of electrical lighting installation at SMK Muhammadiyah 1 Padang is in the Very Good category.
Pendekatan Contextual Teaching and Learning (Ctl) Pada Pembelajaran Volume Kubus Dan Balok Di Kelas V SD Dampak Transisi Pandemi Covid-19 Menuju Endemi Isa, Muhammad; Hambali, Hambali; Zuhra, Intan
Jurnal Dedikasi Pendidikan Vol 6, No 2 (2022): JULI 2022
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/dedikasi.v6i2.2992

Abstract

This research is based on the problem of low student learning outcomes, during the transition from covid-19 to endemic, learning that is usually done is only teacher-centered because most learning is done online so that it affects the low learning outcomes of students, especially in learning the volume of cubes and blocks. This study aims to determine learning through the Contextual Teaching and Learning (CTL) approach in learning the material for the volume of cubes and blocks in fifth grade elementary school. This study uses a quantitative approach to the type of experimental research. The sample in this study was the fifth grade elementary school students, totaling 24 students consisting of 13 boys and 11 girls. Data was collected using observation sheets and tests (pretest and posttest). While the data processing is done by calculating the average value (x), S2 variance, standard deviation (S) and t test. The conclusion of the study shows that the Contextual Teaching and Learning (CTL) approach cannot improve student learning outcomes on the material for the volume of cubes and blocks in fifth grade elementary school during the Covid-19 transition to endemic. Learning activities carried out by teachers and students obtained a percentage rate of 87% (very good), and student learning completeness in the volume of cubes and blocks only 6 students or 25% of students achieved the Minimum Completeness Criteria
Co-Authors Abdul Muthalib Abdullah Hasibuan, Hamdi Achmad Fawaid, Achmad Adang H. Gunawan Afarat, Munzir Agus Setiya Budi, Agus Setiya Ahmad Eddison ahmad yani Ahmat, Dayu Aisyah Saputri Akbar, Ardiyallah Akmal Akmal Al Rafni Al'amin, Ichwan Agung Alfiandra, Muhammad Diki Amri, Daffa Khotami Andikha, Alwi Syahputra Andrian Andrian Andriko, Andriko Anggela, Dea Resti Anjelina, Windri Ansary, Khairil Antika, Siska Ardansyah, Muhammad ARDIANSYAH ARDIANSYAH Arius, Pegi Arkew, Habtu Worku Arwidiyarti, Dwinita As'ari, Abul Hasan Aswad, Musriadi Athifa, Naela Atika Wardani Auna, Desti AYU LESTARI Azzahara, Aldila Fatimah Baizura, Baizura Cahyani, Johana Citra Chandra, Detri Amelia Darwin Darwin Dayat, M. Deniro, Roberto Edo Dewi, Ika Kumala Dewi, Zarima Fatma Diah Fauzia Zuhroh Dian Febriani Dormina, Dormina Edi Sucipto Eka Candra Dewi, Novela Elfis Suanto Elfizon Elfizon Elzenia, Alia Dwi Endang Sarmini Erlinda , Sri Erma Sunardi, Erma Erniwati, Surni Fachri, Moh. Fadli Fadli Faisal Anwar Faridy, Faridy Fatiha, Arsi Mawadhatul Faudi Faudi Febrianti, Intan Gimin Gimin Grosman, Kingkel Panah Gultom, Ester Gustina, Yolanda Hadi, Agustinus Purnomo Hadriyani, Siti Hamida Hamida Hansi Effendi Harfia, Firda Mariam Hariyanti Hariyanti Harmonis, Mistria Haryanti, Tiara Haryono Haryono Hasanah, Fitria Hattami, Anggi Putri Havina, Syahmila Hayati Hayati Heni Pujiastuti Herlina Herlina Hotman Lubis Hurriyah, Wardatul Ikra, Ikra Imami, Agus Sulthoni Imran, Bahtiar Indah Puji Lestari indriana, pathul Indriani, Rani Intan Syahraini Iqbal, Ahmad Irmawa, Hendri Putra Jalaluddin Jalaluddin Jamila Wijayanti Jazilurrahman, Jazilurrahman Jelita, Nadely Syarrova Jumili Arianto Lalu Delsi Samsumar, M.Eng. Lalu Isnaeni Rahman Lestari, Ayuni Liyarista, Ulfah Aribah Lukman Hakim Mahayadi, Mahayadi Mahesi Agni Zaus Makmur, Teuku Mananay, Janet Mardiya, Mardiya Marzuki Marzuki Masrihtah, Iis Maulana, Cecep Maulfi Syaiful Rizal Maulidar Maulidar, Maulidar Maulina Rifkiyatul Islami, Ica Maulina, Fahni Melinda, Vivin Septia Mila Rosa Roslina Milla, Munhidatul Mirza Hardian Mochammad Imron Awalludin Muchsin Muchsin Muh. Fatoni Rohman Muhammad Isa Muhammad Rijal Alfian Mukhaiyar, Riki Mursyid, Ekmal Musa, Purnawarman Mutia, Fara Muttaqin, Reza Nabillah, Ella Alya’ Nadia, Izzatul Fitri Nasrun Nasrun Nasution, Annio Indah Lestari Nasution, Dita Maisaroh Naufal, Muhammad Rajhiv Naylil Rahmi Autari Ningsih, Nurbadria Nugraha, Gusnadi Nurhakiki, Nurhakiki Nurhaliza, Mira Nurlaili Nurlaili Nurul Hasanah Oktavia, Elvina Ayu Oktaviani, Denti Panggabean, Mosar Anggiat Panjaitan, Gita Jesica Pasaribu, Ester Edenia Br Permatasari, Dwi Puspa Pramugita, Sheila Pratama, Diko Putri, Azzizia Aulia Putri, Elsi Radika Putri, Nabila Ananda Putri, Nabilla Ananda Putri, Wartini Arwinda Qushwa, Febriyanti Ghayatul Radini, Radini Rahman, Fathor Rahmawati, Rahmawati Raiyani, Raiyani Ramadhani, Rico Rattanapun, Supot Rhohmah, Michi Aminatin Rianti, Dewi Ridwan, Ridwan Riyadi, Rahmad Roisyah, Hannani Romy, Elly Ronaldo, Ronaldo Rozi, Fathor Rundi, Amos Sadam, Sadewa M Saepudin Karta Sasmita Said Ashlan, Said Salfira, Belsa Sandi, Ari SANTI NURBAITI Santika, Mela Putri Santosa, Firman Santoso, Imam Budi Saputra, Muhammad Wily Saputri, Rika Saras, Siti Sari, Ani yulita Sari, Iis Purnama Sari, Tika Yurnia Sella Angelina Melcin Sena, Maulana Dwi Separen, Separen Sephia Lisa Tamara Siagian, Shehana Siahaan, Jekson Marusaha Sihombing, Natanael Junjungan Simarmata, Eka Santi Sinaga, Yousheva Siregar, Marlina sitanggang, Apri ani Siti Habibah Sitorus, Debora Sari Sitorus, Nomi Destari Situmorang, Eka Erlia SRI RAHAYU Sriyono Sriyono Subki, Ahmad Sukardi Sukardi Sukinah Sukinah Sulaiman Sulaiman Sunarmasto, Sunarmasto Supentri Susilo, Riky Pratama Syaiful Islami Syani, Bekti Rahayu Syaputra, Arif Tahmi, Tamala Tampubolon, Veronika Taun, Taun Tindaon, Nova Kristiani Ulandari, Putri Ummi Kulsum Valianti, Nelfa Wira Y. Rahman Wirasa, Muhammad Arief Wiwik Handayani Wiwin Handoko Wow, Yasaratodo Yeni, Vina Rahma Yudianingsih, Nita Yuliana Yuliana Yuslianti, Iis Zaeniah Zaeniah Zahirman Thalib, Zahirman Zahirman, Zahirman Zahra Mufidah Zainuddin, Zainuddin Zakiyah BZ Zulkhairani, Zulkhairani