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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi Sistemasi: Jurnal Sistem Informasi Jurnal CoreIT Jurnal Informatika Universitas Pamulang Krea-TIF: Jurnal Teknik Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science Zonasi: Jurnal Sistem Informasi Jurnal Daur Lingkungan Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Computer Science and Information Technology (CoSciTech) AloHA International Journal of Health Advancement (AIJHA) Journal of Community Development JURNAL ILMU DAN TEKNOLOGI KESEHATAN TERPADU Malcom: Indonesian Journal of Machine Learning and Computer Science JURNAL SANITASI LINGKUNGAN Journal Of Artificial Intelligence And Software Engineering SEGANTANG LADA : JURNAL PENGABDIAN KESEHATAN Jurnal Indonesia : Manajemen Informatika dan Komunikasi Science, Technology, and Communication Journal
Iwan Iskandar
Jurusan Kesehatan Lingkungan, Poltekkes Kemenkes, Tanjungpinang, Kepulauan Riau,, 29124
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences

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Pemberdayaan Masyarakat melalui Inovasi Septik Tank PVC untuk Daerah Pasang Surut sebagai Upaya Pencegahan Stunting Iskandar, Iwan; Mukodri, Dewi Mey Lestanti; Harianja, Ristina Rosauli; Daswito, Rinaldi; Horiza, Hevi; Gusrianti, Elsa; Astuti, Indah Dwi; Idris, Muhammad Fadhil; Haryadi, Haryadi
SEGANTANG LADA : JURNAL PENGABDIAN KESEHATAN Vol. 1 No. 2 (2023): SEGANTANG LADA : JURNAL PENGABDIAN KESEHATAN
Publisher : Poltekes Kemenkes Tanjungpinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53579/segantang.v1i2.143

Abstract

Stunting hingga saat ini masih menjadi suatu permasalahan negara terutama di Indonesia yang perlu di selesaikan. Stunting dapat menimbulkan dampak yang serius terhadap kualitas sumber daya manusia (SDM) salah satunya yaitu rendahnya derajat kesehatan pada masyarakat. Faktor Risiko stunting yaitu secara langsung dan tidak langsung. Faktor langsung di antaranya asupan makanan dan infeksi, sedangkan faktor tidak langsung seperti pengetahuan ibu tentang gizi, pola asuh orang tua, tingkat pendapatan orang tua, sanitasi, hygine, dan ketahanan pangan. Tujuan dari kegiatan ini yaitu melakukan pendampingan berupa edukasi kepada Masyarakat mengenai pemasangan sarana sanitasi pembuangan akhir tinja (septik tank) sebagai salah satu upaya pencegahan stunting. Kegiatan edukasi dilakukan pada 30 orang responden perwakilan warga desa madong. Kegiatan tersebut dilakukan secara langsung di gedung balai penyuluhan KB kampung Madong Kampung Bugis. Metode pelaksanaan dimulai dengan melakukan koordinasi dengan Pihak Mitra, survei sasaran masyarakat dan lokasi pemasangan septik tank, perancangan septik tank, pembuatan serta pemasangan langsung di lokasi yang telah di sepakati, kemudian melakukan pendampingan berupa edukasi terkait dengan pemanfaatan septik tank dalam upaya mencegah stunting. Kegiatan pendampingan edukasi berjalan dengan baik dimana didapatkan adanya respon positif dari responden, hal ini ditunjukkan dengan antusiasnya responden dalam mengajukan pertanyaan. Pendampingan edukasi yang diberikan tersampaikan dengan baik yang ditunjukkan dari adanya kesepakatan responden untuk mempergunakan dan merawat sarana sanitasi septik tank sebaik mungkin. Untuk itu perlu terus dilakukan pemantauan secara berkala oleh Ketua RT setempat terkait dengan penggunaan septik tank.
Comparison of Triple Exponential Smoothing and Support Vector Regression Algorithms in Predicting Drug Usage at Puskesmas Agnesti, Syafira; Nazir, Alwis; Iskandar, Iwan; Budianita, Elvia; Afrianty, Iis
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.3499

Abstract

Drug management is important in managing adequate drug supplies in Puskesmas, to avoid errors in controlling existing drug stock inventory, it is necessary to predict the amount of drug usage by comparing Data Mining methods and Machine Learning methods, using the Triple Exponential Smoothing (TES) and Support Vector Regression (SVR) algorithms. Implementation is done using the Python programming language. The data used is Amlodipine 10 mg and Amoxicillin 500 mg drug data with a period of 42 months, from January 2020 - June 2023. This study aims to determine the best algorithm by comparing prediction error rate using the Mean Absolute Percentage Error (MAPE) method. Based on research that has been conducted on Amlodipine 10 mg and Amoxicillin 500 mg drugs with a division of 80% training data and 20% testing data, the Triple Exponential Smoothing algorithm with an additive model produces MAPE values of 10.36% and 17.50% respectively with the "Good" category. While Support Vector Regression algorithm, with RBF kernel, complexity 1.0, and epsilon 0.1 produces MAPE values of 10.31% and 9.38% in the "Good" and "Very Good" categories, respectively. Based on this, it can be concluded that Support Vector Regression algorithm is better at predicting than the Triple Exponential Smoothing algorithm.
Quality Of Service (QoS) Analysis to Calculate Internet Network Performance Level DISKOMINFOTIK and OPD P3AP2KB Office Riau Province Ragil S, Mahdhan; Iskandar, Iwan; Candra, Reski Mai
Telematika Vol 20 No 3 (2023): Edisi Oktober 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i3.10716

Abstract

Purpose: Among government agencies, the Office of Communication, Information and Statistics (DISKOMINFOTIK) which functions as an internet Support for Regional Apparatus Organizations (OPD), one of which is the OPD Office for Women's Empowerment, Child Protection, Population Control and Family Planning (P3AP2KB), this study was to determine the quality of the DISKOMINFOTIK network for OPD. P3AP2KB Office.Design/methodology/approach: Analyzing the quality of the internet network at DISKOMINFOTIK and in the P3AP2KB Office OPD room which has a lot of clients during busy hours, free hours, and quiet hours using the Quality Of Service (QoS) method with Throughput, packet loss, delay, TIPHON standard jitter and quantitative methodology.Findings/result: The results of the research prove that the parameter values of Throughput, packet loss, delay are at index 4 with the TIPHON measurement standard in the "Very Good" category, and jitter is index 3 with the TIPHON measurement standard in the "Good" QoS category.Originality/value/state of the art: There has been no previous research to calculate the quality of the internet network provided by DISKOMINFOTIK to Regional Apparatus Organizations (OPD), one of which is the OPD Dinas P3AP2KB, therefore this research was conducted. 
Klasifikasi Tingkat Keberhasilan Produksi Ayam Broiler di Riau Menggunakan Algoritma Naïve Bayes Hamwar, Syahbudin; Nazir, Alwis; Gusti, Siska Kurnia; Iskandar, Iwan; Insani, Fitri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.7038

Abstract

Livestock is becoming one of the important animal protein source providers, along with the fisheries sector, to meet the protein needs of the community at large. One type of livestock business that is popular is the maintenance of broiler chickens because of the potential for meat yield. Today, many breeders run a partnership pattern with large companies where breeders play the role of the main supplier and the company as the core. This step helps maintain the stability of production and income of farmers. The success of farmers in broiler chicken production can be measured by looking at the performance index (IP), if the performance is not good then coaching from the core company is needed. The large amount of data obtained from farmers makes it difficult for core companies to model the success rate of farmer production, this can make it difficult for core companies to choose farmers who need coaching. The application of data mining methods using the Naïve Bayes algorithm classification model has the potential to provide solutions to this problem. The purpose of this study was to predict how much success rate of broiler chicken production in Riau region by utilizing the Naïve Bayes Classifier algorithm. This study utilizes a production data set involving 952 broiler chicken farmers in Riau, with 3 scenarios dividing the data ratio of 90:10, 80:20, and 70:30. The results of the analysis showed that through the evaluation of the confusion matrix, it was best found in a data ratio of 90:10 with accuracy results reaching 89,58%, precision reaching 89,89%, and recall reaching 90,16%.
Co-Authors Afriyanti, Liza Agnesti, Syafira Agustian, Surya Agustina, Auliyah Ahmad, Rizmah Zakiah Nur Alvinur Hidayat, Alvinur Amelia, Felina Ananda, Nuari Ananda, Sherly Arasy, Abdurrahman Astuti, Indah Dwi Aulia Ramadhani Budianita , Elvia Cynthia , Eka Pandu Darmizal, Teddie Delifah, Nur Elin Haerani Elvia Budianita Fadhilah Syafria Fauziyyah, Laila Nurul Febi Yanto Fikri, Mhd Ikhsanul Fitri Insani Gusrianti, Elsa Gusti, Siska Kurnia Hamwar, Syahbudin Handayani, Lala Syafitri Haryadi - Herdiana, Dora Horiza, Hevi Idris, M. Fadhil Idris, Muhammad Fadhil Iis Afrianty Irsyad (Scopus ID: 57204261647), Muhammad Jasril Jasril Kholilah Samosir Lawami, Reza Haya Lestari Handayani MF, M.Yusuf Muhammad Affandes Muhammad Fikry Muhammad Irsyad Mukodri, Dewi Mey Lestanti Muliani, Sarifah Nazir, Alwis Nazruddin Safaat Nazruddin Safaat H Negara, Benny Sukma Novriyanto Novriyanto Permata, Rizkiya Indah Purnama, Irgi Putri. P, Zurneli Kurnia Ragil S, Mahdhan Reski Mai Candra Ridho Hilmawan, Ridho Rinaldi Daswito Ristina Rosauli Harianja rizkaramdhaniartie, siti Sandi, Wahyu Ari Sofiyah, Wan Suwanto Sanjaya Syaputra, Alviandy Tri Prastio Nugroho Yuhesti, Mutia Yuli Novita Sari, Yuli Novita Yusra Yusra, Yusra Zulya Erda