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All Journal Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta JURNAL MEDIA INFORMATIKA BUDIDARMA Syntax Literate: Jurnal Ilmiah Indonesia JURIKOM (Jurnal Riset Komputer) JISIP: Jurnal Ilmu Sosial dan Pendidikan Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Journal of Information Systems and Informatics Zonasi: Jurnal Sistem Informasi JISA (Jurnal Informatika dan Sains) Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer JURNAL ILMIAH GLOBAL EDUCATION Jurnal ABDIMAS Budi Darma Jurnal Informatika Teknologi dan Sains (Jinteks) ETIK (Jurnal Elektronika Terapan dan Ilmu Komputer) Jurnal Pengabdian Bersama Masyarakat Indonesia Jurnal Computer and Technology Repeater: Publikasi Teknik Informatika dan Jaringan KOPEMAS Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian Kepada Masyarakat Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial JPEMAS: Jurnal Pengabdian Kepada Masyarakat Pekayunan
Lalu Mutawalli
STMIK Lombok
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Komparasi CNN dengan ResNet Untuk Klasifikasi Paling Akurat Tingkat Keganasan Diabetes Berdasarkan Citra Retinopathy Lalu Mutawalli; Mohammad Taufan Asri Zaen; Yuliadi Yuliadi
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3248

Abstract

Diabetes becomes an infectious disease that has a very significant increase, it's increasing not only in old age or even suffered by a young age. Based on the Data and Information Center of the Ministry of Health of the Republic of Indonesia, the prevalence of diabetes is 9% in female genitals and 9.65% in male genitals and is estimated to increase to 19.9% with the addition of population age. Currently, the Machine Learning (Depp learning) approach is widely used in carrying out the calcification of medical image data. Retinopathy Diabetes image data can be used as material to build a classification model by utilizing the Convolutional Neural Network (CNN) algorithm and Residual Network (ResNet). The test results in the model developed in this study were the comparison showing the accuracy level of CNN 68.49% while the ResNet was 81.23%, in the CNN loss test 32.57% while the ResNet was 12.59%. In the Scenario of the application of Learning Rate 0.0005 also the ResNet is better than CNN, in the CNN Learning Rate Application Scenario producing an accuracy value of 68.49% while the ResNet adopts an accuracy value of 81.84% and on the CNN loss value of 20.14 while the 10.2% Resnet has a higher level of accuracy has a higher accuracy rate Compared to CNN and the application of learning rates it also affects in building a more accurate model in the case study of Retinopathy Diabetes.
Automating the Extraction of Words and Topics in Indonesian Using the Term Frequency-Inverse Document Frequency Algorithm and Latent Dirichlet Allocation Mutawalli, Lalu; Zaen, Mohammad Taufan Asri; Zulkarnaen, Muhammad Fauzi
JISA(Jurnal Informatika dan Sains) Vol 7, No 1 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i1.2012

Abstract

Keyword extraction and topic modeling in the analysis of Gojek user reviews in Indonesian are very important. By understanding user preferences and needs through keyword extraction, as well as grouping user reviews into different topics through topic modeling, stakeholders can use the information to further improve services. This research uses TF-IDF and LDA approaches to analyze text data from Gojek user reviews and feedback. The data spans from Nov 5, 2021, to Jan 2, 2024, totaling 225,002 rows. Each row includes username, content, time, and app version. The focus is on content reviews. The average length is 8 words, with a maximum of 104 and a minimum of a few words. The variability indicates a non-normal distribution. Preprocessing is conducted to maintain topic analysis accuracy. The TF-IDF method is used to extract relevant keywords, while the LDA approach is used to model the topics in user reviews. The topic analysis reveals patterns in Gojek user reviews. The first topic discusses experience, services, and affordable pricing. The second emphasizes app usability and benefits. The third relates to promos, discounts, and vouchers. The fourth reflects positive evaluations of service quality. However, the fifth topic highlights high costs and app issues. The sixth underscores overall user satisfaction and service convenience. Testing on the topic model yielded a coherence level of 0.509, indicating that the model's topics demonstrate a good level of consistency in finding relevant topics from Gojek user review data. The use of a combination of TF-IDF and LDA in Indonesian text analysis, particularly in the context of Gojek user reviews, is an important step in enhancing understanding and utilization of text data to improve overall user experience. 
Terapi Relaksasi Otot Progresif Sebagai Alternatif Mengatasi Stress Dimasa Pandemi Covid-19 Di Kabupaten Lombok Tengah Mutawalli, Lalu; Setiawan, Sabar; Saimi, Saimi
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 4, No 3 (2020): JISIP (Jurnal Ilmu Sosial dan Pendidikan)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (429.311 KB) | DOI: 10.58258/jisip.v4i3.1155

Abstract

Coronavirus Disease 2019 (COVID-19) pertama kali ditemukan Wuhan Provinsi Hubei, Cina, penyebarannya dan transmisi  COVID-19 sangat cepat hingga WHO menetapkan COVID-19 sebagai kasus pandemi global. Meluasnya penyebaran COVID-19 di Indonesia sangat cepat. Berdasarkan data WHO kasus COVID-19 di dunia sebanyak 6,535,354, kasus dengan kematian 387,155 jiwa. 216 negara termasuk Indonesia telah terpapar virus ini. Di Indonesia kasus positive COVID-19 sebanyak 29,521 kasus positive dengan 1770 kematian, dan di NTB sebanyak 798 kasus dengan 22 kematian, dan tingginya kasus ini menyebabkan masyarakat mengalami strees berat baik akibat pikiran maupun bebean kerja selama pandemic COVID-19. Desain penelitian dalam penelitian ini adalah Quasy Experiment Design .Penelitian ini jumlah sampel dalam penelitian ini sebanyak 36 responden  yang diambil dengan teknik purposive sampling. Dan tujuan penelitian ini adalah melihat pengaruh dari pengaruh teknik relaksasi otot progresif terhadap penurunan tingkat stress masyarakat kabupaten Lombok Tengah. Berdasarkan hasil uji statistik, dapat diperoleh nilai rata-rata skor tingkat stress sebelum intervensi sebanyak 16,75 dan mengalami penurunan skor stress setelah diberikan intervensi teknik relaksasi otot progresif 11,58. Nilai rata-rata skor stress masyarakat menunjukan adanya penurunan setelah diberikan terapi teknik relaksasi otot progresif 5,16 dengan p value 0,000 lebih kecil dari α = 0,05. Kesimpulan penelitian ini adalah artinya ada pengaruh yang signifikan pemberian terapi teknik relaksasi otot progresif terhadap penurunan tingkat stress masyarakat dimasa pandemic COVID-19 di Kabupaten Lombok Tengah.
TOPIC MODELLING POLA KOMUNIKASI PILPRES 2024 FOCUS WEB SCRAPING DAN LATENT DIRICHLET ALLOCATION Tedi Irawan; Lalu Mutawalli; Sofiansyah Fadli; Wire Bagye
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 7 No. 2 (2024): MISI EDISI JUNI 2024
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v7i2.1183

Abstract

Pemilihan Presiden 2024 di Indonesia sangat dinantikan karena menentukan arah kepemimpinan negara. Kandidat Anies-Muhaimin, Prabowo-Gibran, dan Ganjar-Mahfud bersaing ketat. Strategi komunikasi digital menjadi krusial dalam kampanye, memanfaatkan media sosial untuk mempengaruhi opini publik. Pendekatan berbeda diadopsi: kampanye "Gemoy" Prabowo, door-to-door Anies-Muhaimin, dan fokus isu lingkungan oleh Ganjar-Mahfud. Penelitian ini berfokus pada analisis pola komunikasi dalam konteks Pemilihan Presiden 2024. Dengan menggunakan metode web scraping dan Latent Dirichlet Allocation (LDA) untuk pemodelan topik, penelitian ini berusaha memahami dinamika komunikasi politik yang berkembang di era digital. Bagaimana koherensi model LDA dalam mengidentifikasi topik-topik, Mengidentifikasi topik-topik dominan yang muncul dalam diskusi terkait Pemilihan Presiden 2024. Penelitian ini menggunakan metode web scraping untuk mengumpulkan data dari tiga dataset berbeda: AMIN, Prabowo-Gibran, dan Ganjar-Mahfud. Metode LDA kemudian diterapkan untuk pemodelan topik dari data yang telah diekstraksi. enelitian ini memiliki keterbaruan dalam pendekatannya yang menggunakan kombinasi web scraping dan LDA untuk analisis komunikasi politik di era digital. Hasil analisis menunjukkan bahwa model LDA memiliki tingkat koherensi sebesar 0,405, yang meskipun tidak sangat tinggi, tetap memberikan pemahaman berharga terhadap topik-topik dominan yang dibahas. Topik-topik tersebut meliputi dukungan terhadap kandidat, hasil survei, dan isu-isu politik terkait Pemilihan Presiden 2024. Penelitian ini memberikan wawasan penting dalam memahami dinamika komunikasi politik yang terjadi di ranah digital, khususnya dalam konteks Pemilihan Presiden 2024. Informasi yang diperoleh dapat digunakan oleh berbagai pihak, termasuk calon kandidat, partai politik, dan masyarakat umum, untuk mengembangkan strategi komunikasi yang lebih efektif dan memahami isu-isu yang paling relevan serta berpotensi memengaruhi hasil pemilihan.
PELATIHAN TUKANG BIOGAS SEBAGAI UPAYA PENINGKATAN KEBERSIHAN DESA WISATA BONJERUK Wire Bagye; Mohammad Taufan Asri Zaen; Ichwan Purwata; Khairul Imtihan; Maulana Ashari; Lalu Mutawalli; Muhammad Fauzi Zulkarnaen
Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024 Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) 2022
Publisher : Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Desa wisata Bonjeruk merupakan salah satu dari sebelas desa wisata dilombok tengah. Pengembangan wisata dilakukan sejak juni 2018 oleh Kelompok Sadar Wisata Bonjeruk Permai. Paket wisata bersepeda atau goes yang melewati persawahan, Kebun Buah, dan tempat Bersejarah merupakan paket wisata andalan. Manfaat desa wisata binjeruk belum memberikan dampak ekonomi pada masyarakat umum sehingga menjadi pemicu kecemburuan social. Bentuk kecemburuan social yaitu kurang peduli masyarakat umum pada fasilitas penunjang disa wisata Bonjeruk. Permasalahan lainya ialah masih ditemukan tumpukan kotoran ternak berupa kotoran sapi dari masyarakat sekitar yang membuang kotoran ternak pada area perkebunan dan persawahan dipinggir jalur sepeda.  Bau busuk dan pemandangan tumpukan kotoran sapi sangat mengganggu wisatawan bersepeda.  Masyarakat telah memiliki pengetahuan bahwa kotoran sapi dapat menajdi sumber energy alternative biogas namun belum memeiliki keterampilan teknis dalam memabngun reaktor biogas. Untuk meningkatkan kebersihan jalur sepeda desa wisata Bonjeruk maka  dilakukan pelatihan tukang Biogas kepada 10 (Sepuluh) Orang masyarakat desa bonjeruk. Pelatihan dilaksanakan dengan membangun sebuah demoplot reaktor biogas skala 4 meter kubik. Kegiatan dialksanakan selama 8 (delapan) hari. Kegiatan pengabdian ini telah menghasilkan 10 (sepuluh) orang tukang biogas dan sebuah reaktor bigas model fixeddome yang mampu menampung 30% (tiga puluh persen) kotoran sapi yang ditumpuk pada pinggir jalur sepeda.
PENERAPAN SAW UNTUK MENENTUKAN PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN PADA KELURAHAN RENTENG Septia, Laili; Zaen, Mohammad Taufan Asri; Mutawalli, Lalu
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.4806

Abstract

The Family Hope Program (PKH) is a social assistance program from the government which aims to improve the welfare of underprivileged people. The process for receiving aid in this program requires an effective and objective method to ensure that aid is given to those who really need it. In this study, we applied the Simple Additive Weighting (SAW) method to determine the receipt of PKH assistance in Renteng Village. The SAW method was chosen because it is able to handle multi-criteria problems in a simple but efficient way. The criteria used include pregnant women, early childhood, school / education children, disabilities and the elderly. The research results show that the SAW method can be used effectively to determine receipt of assistance by providing a ranking based on the total score of each criterion. The implementation of this method is expected to increase transparency and accuracy in the distribution of social assistance in Renteng Village. The results of the calculations show Elderly V5= 0,6815 children are more deserving of PKH assistance in Renteng Village.
Perancangan Sistem Pelaporan Incident Hack Di Kominfo Lombok Tengah Menggunakan Agile Pendekatan Scrum Gunawan Efendi; Lalu Mutawalli; Jihadul Akbar
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.104

Abstract

The Scrum method is a methodology included in agile software development. Scrum is considered to be able to produce good quality software according to user wishes, can be used in large and small projects, and is easy to adopt changes. The scrum activity stages include product backlog, sprint backlog, daily scrum, sprint review, and sprint retrospective. Roles in Scrum include product owner, scrum master, and development team. Scrum has structured and iterative stages, so that if the product in the first sprint is not sufficient to meet needs, then in the next sprint a system can be developed that is in accordance with user evaluation. The results obtained from Designing a Hack Incident Reporting System at Kominfo Central Lombok Using the Agile Scrum Approach were proven to be able to overcome changes in requirements during the system development phase, producing products that met the wishes of users because they received repeated reviews.
PEMODELAN TOPIK ISU PARWISATA PULAU LOMBOK MENGGUNAKAN FOCUS WEB CRAWLER DAN LATENT DIRICHLET ALLOCATION Supardianto; Seriasih; Lalu Mutawalli
Jurnal Informatika dan Rekayasa Elektronik Vol. 7 No. 2 (2024): JIRE NOPEMBER 2024
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v7i2.1332

Abstract

Penelitian ini mengeksplorasi potensi pariwisata di Pulau Lombok sebagai pendorong utama perkembangan ekonomi, sosial, dan budaya lokal. Sebagai destinasi wisata yang populer, Lombok dikenal dengan keindahan alamnya yang meliputi pantai dan gunung serta kekayaan budaya suku Sasak. Penelitian ini menggunakan metode pemodelan topik seperti TF-IDF dan Latent Dirichlet Allocation (LDA) untuk menganalisis konten media sosial dan artikel berita, yang mengidentifikasi empat hingga enam tema utama terkait pariwisata Lombok, termasuk promosi destinasi, pengembangan desa wisata, dan dampak acara olahraga, seperti MotoGP. Hasil analisis menunjukkan bahwa model LDA memiliki kemampuan prediktif yang kuat dengan nilai perplexity -9.345 dan Coherence Score 0.5873, mencerminkan koherensi tematik yang baik. Model untuk komentar media sosial menunjukkan perplexity -6.276 dan Coherence Score 0.513, sedangkan model pada artikel berita online menghasilkan perplexity -8.52. Secara keseluruhan, penelitian ini menyoroti pentingnya pariwisata tidak hanya sebagai sumber pendapatan, tetapi juga sebagai penguat kehidupan sosial dan budaya masyarakat lokal, serta memberikan wawasan yang relevan bagi pengembangan pariwisata yang responsif terhadap kebutuhan wisatawan.
Pelatihan Penggunaan MIT App Inventor untuk Membuat Aplikasi Android pada Siswa di Bale Mesin Digital Wahyu Kurniawan; Lalu Mutawalli; Wire Bagye
Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat Vol. 2 No. 4 (2024): Oktober: Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/bumi.v2i4.419

Abstract

This training aims to provide training on the use of MIT App Inventor in creating Android applications to students at Bale Machine Digital. MIT App Inventor is a web-based platform that makes it easy for new users to program and create Android apps through a block-based Invalid source specified.men interface. The research methods used include problem identification, preparation, training implementation and evaluation. The results of this training show a significant increase in students' knowledge and skills in using information technology and creating Android applications. This training also provides basic skills that are much needed in today's digital era and can be the basis for developing business opportunities in the future.
DIGITALISASI UMKM DI DESA DARMAJI GUNA MENCIPTAKAN WIRAUSAHAWAN CAKAP DIGITAL Andikasari, Devi; Fadli, Sofiansyah; Mutawalli, Lalu; Zaen, Mohammad Taufan Asri; Tantoni, Ahmad
Jurnal Pengabdian Bersama Masyarakat Indonesia Vol. 3 No. 2 (2025): April : Jurnal Pengabdian Bersama Masyarakat Indonesia
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jpbmi.v1i2.82

Abstract

Darmji Village is one of the villages that has residents who produce printed handicrafts and various types of ready-to-pack food. The people in the village are able to produce thousands of handicraft products within one month, but the problems faced by the people there are that they are not competent enough to digitalize to promote their products worldwide. , so that I, fromSTMIK LOMBOKstudents, took the initiative to conduct community service training in the village to help the community understand how to use social media to increase the selling value of their products so that from this they can increase the income of the people in Darmaji village, the method I use in this service training is the method Observations, interviews, socialization and training, so that at the end of the activity we get an increase in graphics from 0% to 53% of the knowledge that I convey to the public can be absorbed and applied properly
Co-Authors Ahmad Tantoni Andikasari, Devi Ardian Maulana Azhari, Muh Malik Buyung Kurnia Fathoni Damanhari Surya Rasyid EFENDI, GUNAWAN Eli Diana Rukmah Ernawati Fadli, Sofiansyah Gilang Restu Imam Wahyudi Gunawan Efendi Hairul Fahmi Hasyim Asyari Hasyim Asyari Ichwan Purwata Indi Febriana Suhriani Izzati Muhimmah Jihadul Akbar Kahpi, Khairul Kahpi Karuniawan, Heru Khairul Imtihan Khairul Kahpi Kahpi Lantip Rujito Maemun Saleh Maemun Saleh Maulana Ashari Moh Reza Syaifur Rizal Mohammad Taufan Asri Zaen Muhammad Fauzi Zulkarnaen Nirmala Kusuma Dewi Nurul Asmawati Nurul Maulida, Nurul Rohmatul Fajriyah Saeful Hamdi Saepul Bahri Saikin Saikin Saimi, Saimi Septia, Laili Seriasih Setiawan, Sabar Sofiansyah Fadli Sofiansyah Fadli Sofiansyah Fadli Srihati, Ania Suhaini Suhaini Suhriani, Indi Febriana Supardianto Supardianto Supardianto Supadianto Supardianto Supardianto Tantoni, Ahmad Tedi Irawan Tedi Irawan Wafiah Murniati Wahyu Kurniawan Wayan Tunas Artama Wire Bagye Wire Bagye Yuliadi Yuliadi