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All Journal Dinamik Infotronik : Jurnal Teknologi Informasi dan Elektronika International Journal of Health Science and Technology Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Sekarlangit Sekarlangit
Universitas Nasional Karangturi Semarang
Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Health Professions Nursing Public Health

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IDENTIFIKASI PENERAPAN ERP PADA UPT LABORATORIUM LINGKUNGAN DINAS LINGKUNGAN HIDUP KOTA PALANGKA RAYA Sekarlangit Sekarlangit; Eko Sediyono; Aris Puji Widodo
Jurnal Teknologi Informasi dan Elektronika (INFOTRONIK) Vol 8, No 1 (2023): Vol 8 No 1 Tahun 2023
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2023.8.1.2006

Abstract

Peningkatan kualitas pelayanan laboratorium lingkungan telah menjadi kebutuhan yang penting. Karena hal tersebut berdampak terhadap tingkat kepuasan publik akan pelayanan informasi yang disajikan di laboratorium. Pelayanan terhadap publik merupakan suatu hal yang menjadi dasar untuk dapat merencanakan peningkatan pelayanan serta pengelolaan data yang lebih baik nantinya di UPT Laboratorium Lingkungan Dinas Lingkungan Hidup Kota Palangka Raya. Penerapan ERP pada Sistem Layanan Laboratorium Lingkungan UPT Laboratorium Lingkungan Dinas Lingkungan Hidup Kota Palangka Raya diharapkan dapat lebih meningkatkan mutu dalam pelayanan baik bagi masyarakat. Proses pembangunan Sistem Layanan dimulai dengan menganalisis sistem yang ada, kemudian mengidentifikasi permasalahan-permasalahan yang ada. Setelah diindentifikasi kemudian penulis merancang sistem dengan metode ERP dan mengintegrasikannya pada database MySQL.
Rancang Bangun Aplikasi Marketplace Edukasi “Pasar Ilmu” Oei Joviano Matthew Wijaya; Vic Jeremy Prajogo; Gafgarion Sudrajat Budi Darminto; Gracia Stefani Suharyadi; Siska Narulita; Sekarlangit Sekarlangit
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 1 (2025): Februari : Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i1.422

Abstract

The welfare of teachers in Indonesia, especially honorary teachers, is still very poor when compared to other ASEAN countries. There is a gap between the salaries of teachers in Indonesia and the salaries of teachers in several ASEAN countries. There have been several demonstrations carried out by teachers, especially honorary teachers, because the salary received is not in accordance with the performance that has been carried out. On the other hand, there is a problem of high unemployment in Indonesia. The factors causing the high unemployment rate in Indonesia are the mismatch of qualifications and the low quality of education in Indonesia, as well as limited job vacancies and the high need for employment. To overcome these problems, a new innovation is needed that can help the community in creating jobs and improving the quality of education in Indonesia. The Pasar Ilmu educational marketplace application was developed to overcome these problems. The development of this Pasar Ilmu application uses the prototype system development method. This research aims to create a system or application of the Pasar Ilmu educational marketplace that can help improve the quality of education in Indonesia as an application that can help honorary teachers to get additional income, help reduce unemployment in Indonesia, and provide flexible courses or lessons for students.
Pengembangan Sistem Informasi Verifikasi Online (SI-VERO) Berbasis Web Narulita, Siska; Sekarlangit, Sekarlangit; Abdillah, M. Zakki
Dinamik Vol 30 No 2 (2025)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v30i2.10131

Abstract

Maraknya kasus kecurangan atau manipulasi dokumen sertifikat atau piagam penghargaan pada proses Penerimaan Peserta Didik Baru (PPDB) di berbagai wilayah di Indonesia, menjadi permasalahan yang serius untuk diselesaikan. Tindakan ini dapat merugikan para siswa yang telah berprestasi secara jujur, merusak kepercayaan masyarakat terhadap integritas pendidikan dan kredibilitas sistem PPDB itu sendiri, sehingga berdampak pada kepercayaan masyarakat kepada institusi atau lembaga pendidikan dan pemerintah. Metode penelitian yang dipergunakan adalah case studies research. Peneliti menggunakan metode Rapid Application Development (RAD) untuk pengembangan sistem dan blackbox testing berbasis equivalent partition untuk metode pengujian sistem. Berdasarkan hasil blackbox testing berbasis equivalent partition, bahwa sistem informasi verifikasi online yang dibangun, secara keseluruhan fungsionalitasnya sudah berjalan dengan baik. Sistem yang dibangun juga sudah sesuai dengan kebutuhan pengguna dalam mengakomodir permasalahan terkait dengan verifikasi sertifikat secara online, sehingga dapat meminimalisir praktik kecurangan atau manipulasi dokumen sertifikat atau piagam penghargaan.
Health belief model-based analysis of Prolanis Exercise Cahyarani, Astika; Murdiyanto, Joko; Latifa, Annisa; Dyatmiko, Hendrian; Sekarlangit, Sekarlangit; Husmarini, Novi; Salsabila, Huda; Illahi, Annisasufitri Bryan; Rasyid, Rico Firman
International Journal of Health Science and Technology Vol. 7 No. 2 (2025): November
Publisher : Universitas 'Aisyiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31101/ijhst.v7i2.4413

Abstract

Managing non-communicable diseases, particularly diabetes and hypertension, requires a blend of pharmacological and non-pharmacological interventions, including enhanced physical activity. The Prolanis exercise program, created by BPJS, is a promotive-preventive initiative aimed at fostering healthy lifestyle modifications through consistent physical activity and health education. The Poltekkes Kemenkes Yogyakarta Primary Clinic has implemented this program for individuals with hypertension and diabetes; however, the participation rate requires enhancement. This study seeks to examine the determinants affecting participant engagement in Prolanis Exercise through the Health Belief Model (HBM) framework. This research is a cross-sectional qualitative research with a sample of 40 participants which was then analyzed using the linear regression method. Results show that most HBM constructsperceived susceptibility, severity, benefits, barriers, and cues to actiondo not significantly influence participation. Only self-efficacy demonstrated a positive but marginally significant effect while the promotive-preventive approach showed a significant negative relationship with participation. The research results indicate that the majority of HBM constructs such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and cues to action do not have a significant relationship with the level of participation in the Prolanis exercise activities at the clinic. However, there are serious drawbacks to the existing promotive-preventive strategy, which highlights the need to enhance health communication approaches to be more participative, interactive, and in line with patients' needs and sociocultural context. This study highlights the importance of redesigning promotive-preventive strategies toward more participatory, context-sensitive, and empowerment-oriented health communication models, providing valuable insights for policymakers and primary healthcare providers in developing more effective community-based interventions for non-communicable disease management.
Deteksi Alergen pada Produk Pangan Menggunakan Algoritma Support Vector Machines (SVM) Siska Narulita; Sekarlangit Sekarlangit; Milka Putri Novianingrum
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 1 (2025): Februari : Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i1.393

Abstract

Food allergies are medical conditions caused by particular immunological reactions brought on by exposure to certain foods. All age groups can experience food allergies, albeit the prevalence varies between children and adults, with children experiencing this condition more frequently than adults. Find food ingredients or substances that can trigger allergies, often known as allergens. This project attempts to determine whether or not the food includes allergies by applying the SVM data mining method to a public dataset of food goods and allergens that was acquired via Kaggle. High accuracy, effective memory use, and the ability to handle non-normally distributed data are some of the benefits of the SVM method. Data collection is the first step in the research process. Data pre-processing, which includes data transformation, handling missing values, and copy objects, comes next. Validation comes next. Split validation with 90% training data and 10% testing data, 10-fold cross validation, and split validation with an 80%–20% ratio were all compared in this study. The SVM method is applied after the dataset has passed validation, and the confusion matrix is used for the last evaluation step. SVM has an accuracy rate of 97.24% when using 10-fold cross validation, according to the accuracy value produced by the validation process comparison. Split validation yields an accuracy value of 97.50% when the ratio of training data to testing data is 90% to 10%. In contrast, an accuracy rate of 98.75% was achieved by using split validation with a ratio of 80% and 20%.
SuperBoost-AllerScan: Deteksi Alergen pada Produk Pangan - Pendekatan Data Mining dan Machine Learning Narulita, Siska; Sekarlangit, Sekarlangit; Novianingrum, Milka Putri
Dinamik Vol 31 No 1 (2026)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v31i1.10325

Abstract

Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and machine learning approaches. SVM and AdaBoost algorithms each have advantages that can be used to help build an optimal allergen detection model. This research uses a cross-validation model validation method with a value of K = 10 to help improve the performance of the model built. In this study, from the entire fold, an average accuracy value of 98.74% was obtained. To evaluate the model built, this research has also conducted several new data inputs, and in each new data input, the accuracy value is obtained above 99%. This indicates that the model built, namely the combination of SVM and AdaBoost algorithms with the cross-validation model validation method, produces high accuracy, so this model can greatly assist the allergen detection process in food products.
Co-Authors Annisa Latifa Aris Puji Widodo Astika Cahyarani Dyatmiko, Hendrian Eko Sediyono Gafgarion Sudrajat Budi Darminto Gracia Stefani Suharyadi Husmarini, Novi Illahi, Annisasufitri Bryan M. Zakki Abdillah murdiyanto, joko Oei Joviano Matthew Wijaya Putri Novianingrum, Milka Rasyid, Rico Firman Salsabila, Huda Siska Narulita Vic Jeremy Prajogo