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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Biopendix: Jurnal Biologi, Pendidikan dan Terapan JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Abdi Insani BERNAS: Jurnal Pengabdian Kepada Masyarakat JAMBURA JOURNAL OF PROBABILITY AND STATISTICS IGKOJEI: Jurnal Pengabdian Masyarakat Jurnal Abdimas Sangkabira ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua Journal of International Conference Proceedings Journal of Health, Education, Economics, Science, and Technology (J-HEST) KOLONI STATISTIKA Sipakaraya : Jurnal Pengabdian Masyarakat EBAMUKAI; JURNAL PENGABDIAN ILMU PENGETAHUAN DAN TEKNOLOGI Cahaya Pengabdian
Nicea Roona Paranoan
Program Studi Statistik FMIPA Universitas Cenderawasih
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Mekanisme Pemberian dan Sistem Pengelolaan Paket Bantuan Perikanan bagi Pemberdayaan Nelayan di Kota Ambon Lolita Tuhumena; Sara Umbekna; Lalu Panji Imam Agamawan; Eygner Talakua; Leopold A. Tomasila; Yofreds Tanamal; Winda A F Butar butar; Nicea R Paranoan
ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua Vol 5, No 2 (2022): ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua
Publisher : Cenderawasih University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/acr.v5i2.2561

Abstract

:Maluku as an archipelago province with the highest potential for fishery in Indonesia, where people occupy more than 75 percent of coastal areas and small islands (DKP Maluku Province, 2017) which still live below the poverty line. The government has made various efforts to alleviate poverty of coastal communities by providing aid package through policy to provide capture fishery assistance package but the results obtained have not been maximized. In addition, there has not been an in-depth evaluation of the impact of providing aid package to fisherman in Ambon City.This study aims to analyze the characteristics of recipients of aid packages and analyze the impact of policies on fishery assistance packages. This study was conducted in May - June 2019. The data of this study are consisted of primary and secondary data. Sampling was done by total sampling, which amounted to 44 respondents and method used is Descriptive Statistic and Editing, Scoring, Tabulating, Processing and Cleaning. Based on the results of the study there were 12 characteristics of respondents which are divided into 4 social characteristics and 8 economics that receive of assistance package in Ambon City and then the mechanism of giving and managing fishery assistance package in the form of tonda fishing rod (1.5 GT) was not good.
Comparing Logistic Regression and Support Vector Machine in Breast Cancer Problem Caecilia Bintang Girik Allo; Leonardus Sandy Ade Putra; Nicea Roona Paranoan; Vincentius Abdi Gunawan
Jambura Journal of Probability and Statistics Vol 4, No 1 (2023): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v4i1.19246

Abstract

There are several methods used for the classification problems. There are many different kinds of fields that can be used. Nowadays, Support Vector Machine (SVM) is a popular classification method that has been proposed by many researchers. Using the same method but different distribution methods for creating training and testing data in the same dataset can yield varying results in terms of prediction accuracy, which is crucial in classification. In this paper, we compare the prediction accuracy between SVM results and Logistic Regression results to determine the better method to  classify the current condition of the patient after undergoing some treatment.  Several treatments are used in this paper, including feature selection, feature extraction, separating the train and testing data using Holdout and K-Fold CV. Stepwise selection is done to reduce the features. Training and testing dataset is obtained using the five stratified and non-stratified holdout and five fold stratified and non-stratified cross validation. The result shows that the best method to classify the cancer dataset is five fold stratified cross validation SVM with radial kernel. The obtained accuracy is 81,816% with variance as much as 0,94%.
Improving the Quality of Smoked Fish Processing for the PKM Program in Hamadi Village, Jayapura City Basa T. Rumahorbo; Diana M. Abulais; Hardi Hamzah; Daniel ZK Wambrauw; Lolita Tuhumena; Yulindra M. Numberi; Sara Umbekna; Nicea R. Paranoan
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol 7 No 3 (2023): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : Dewan Pimpinan Daerah (DPD) Perkumpulan Dosen Indonesia Semesta (DIS) Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v7i3.802

Abstract

Smoked fish products produced by fishing households in Jayapura City are widely known, becoming food products that are popular with city residents and souvenirs for tourists. The development of this superior commodity requires at least four requirements, namely that commodity procurement must be continuous in quantity, quality and at the right time, have good traceability, continuous development and mastery of technology, and adequate mastery of business management. It is within this framework that this community service activity is carried out. The aim of this Community Partnership Service activity is to empower the community to increase their knowledge and skills in using appropriate fish smoking equipment, making hygienic packaging, understanding production and marketing management and making simple cash books in running a smoked fish processing business in Hamadi Village, Jayapura City. This service uses participatory rural appraisal methods, fisheries education, and pretest posttest control group design. Based on the results of the implementation of activities with POKLAHSAR Mama Papua partners on 26-27 August and 22-23 September 2023, it is known that there is an understanding of cash bookkeeping, the use of appropriate smoking equipment, production management and marketing management, as well as making hygienic packaging for smoked tuna. , has increased. It is hoped that this can become a benchmark for the development of the smoked fish business among partners as targeted in the activity objectives.
PELATIHAN PENGOLAHAN LIMBAH CANGKANG TELUR MENJADI PUPUK ORGANIK DI KAMPUNG YOKA DISTRIK HERAM SEBAGAI UPAYA PENANGGULANGAN PENCEMARAN PERAIRAN DI DANAU SENTANI Frans Augusthinus Asmuruf; Nada Pertiwi Papriani; Sitti Rosnafi’an Sumardi; Deppa Ringgi’; Suarni. S; Muhammad Hisyam; Nicea Roona Paranoan; Lolita Tuhumen; Santinia Andiva Pramesti; Feby Seru
EBAMUKAI PAPUA JURNAL PENGABDIAN ILMU PENGETAHUAN DAN TEKNOLOGI
Publisher : Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/ejpipt.v1i1.121

Abstract

Cangkang telur merupakan salah satu limbah rumah tangga yang sangat mudah dijumpai, trmasuk di Kampung Yoka Distrik Heram yang terletak di dekat Danau Sentani. Pengolahan limbah cangkang telur menjadi pupuk organik dapat menjadi salah satu upaya penanggulangan pencemaran Danau Sentani. Alternatif ini dipilih karena cara pengolahannya sangat mudah dan praktis. Siapapun bisa melakukannya di rumah. Pengolahan limbah cangkang telur menjadi pupuk organik dapat dilakukan melalui tahap persiapan yang terdiri dari : mengumpulkan limbah cangkang telur, mencuci cangkang telur hingga bersih, mengeringkan cangkang telur dibawah sinar matahari kurang lebih selama 2 hari, dan mengahaluskan cangkang telur kering menggunakan blender hingga menjadi tepung cangkang telur. Selanjutnya, masuk tahap pengolahan yang dapat dilakukan dengan tiga cara yaitu : (1) Menaburkan tepung cangkang telur yang telah dibersihkan di atas tanah sekitar batang tanaman. (2) Mencampurkan 2-3 sdm tepung cangkang telur ke dalam media tanam yang telah dibuat sebelumnya (ukuran pot dengan tinggi 30-35 cm). dan (3) Mencampurkan 1 sdm tepung cangkang telur dengan 1 sdm cuka. Selanjutnya mengencerkannya dengan 1 liter air. Pengolahan limbah cangkang telur. Pelaksanaan pengabdian menggunakan metode ceramah, diskusi, tanya jawab dan metode praktik pembuatan pupuk organik dari limbah cangkang telur dan dilaksanakan dalam 4 (empat) tahap, yaitu perencanaan, persiapan, pelaksanaan, dan evaluasi. Masyarakat Kampung Yoka yang hadir dalam kegiatan pelatihan yang terdiri dari pekerja/ petugas Puskesmas Yoka, ibu rumah tangga dan beberapa lansia menjadi memahami bahwa limbah cangkang telur banyak manfaatnya untuk tanaman. Masyarakat Kampung Yoka dapat memahami dan dapat meningkatkan keterampilan mengolahan limbah cangkang telur menjadi pupuk organik sebagai upaya penaggulangan pencemaran perairan di Danau Sentani.
Performance Single Linkage and K-Medoids on Data with Outliers Allo, Caecilia Bintang Girik; B, Winda Ade Fitriya; Paranoan, Nicea Roona
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14072

Abstract

One way to assess the economic growth of a province is by examining its Gross Regional Domestic Product (GRDP). GRDP calculated through the production approach reflects the total value added by goods and services from various sectors within a particular region over a specified period. To determine the GRDP, 17 business sectors are considered. In 2023, the GRDP growth rate in Papua has decreased to 3.44%, down from 4.11% the previous year. To help the government improve Papua’s GRDP, an analysis is required. Clustering methods can group regencies and cities with similar characteristics. Boxplots are used to identify outliers in the data. The data contains outliers, so one method that can be used is K-Medoids. Euclidean Distance is used to calculate the distance matrix. Before calculating the distances, standardization using z-score normalization is performed to ensure that the data ranges are the same. This article aims to identify the most effective method for clustering regencies and cities in Papua using GRDP at constant price data. Both Single Linkage and K-Medoids methods are applied in this study. The DBI is used for evaluation, with lower DBI values indicating better methods. According to the DBI results, Single Linkage outperforms K-Medoids for clustering regencies and cities in Papua, with the optimal number of clusters being three. Keywords: Euclidean Distance; Davies Bouldin Index (DBI); Gross Regional Domestic Bruto; K-Medoids; Single Linkage; z-score Normalization
Performance of K-Means and DBSCAN Algorithm in Clustering Gross Regional Domestic Product Wororomi, Jonathan K.; Allo, Caecilia Bintang Girik; Paranoan, Nicea Roona; Gusthvi, Wickly
Journal of International Conference Proceedings Vol 6, No 5 (2023): 2023 UICEB Papua Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i5.2710

Abstract

Gross Regional Domestic Product (GRDP) is one of important indicator to determine the economic conditions of a region. GRDP are obtained from sum of value added produced by all unit of production in a region. This study use GRDP by production approach that grouped into seventeen categories of Industry. The government always put the big efforts to increase the economic growth after Covid-19 pandemic. According publication of BPS - Statistics Indonesian, in the year of 2021 and 2022 it’s growth between 3.70% and 5.31%. The aim of these study are determined the cluster GDRB based on province in Indonesia at current prices and analyses the performance of the cluster method. The results showed that by using the DBSCAN, two clusters were formed and one province can be detected as an outlier. On the other hands, performance of the method by K-Means showed two clusters. The silhouette value using K-Means is higher than the DBSCAN. For these case, the performance of K-Means is more appropriate than DBSCAN to use in clustering province in Indonesia based on GRDP at Current Market Prices. Moreover, performance of DBSCAN shows more sensitive on outliers detection.
PELATIHAN UJIAN BERBASIS KOMPUTER PADA GURU SD YPPK SANTO PETRUS ARGAPURA Fitriya B, Winda Ade; Nazal, Muhammad Asghar; Allo, Caecilia Bintang Girik; Paranoan, Nicea Roona; Sumardi, Sitti Rosnafi’an; Tuhumena, Lolita
Jurnal Abdimas Sangkabira Vol. 4 No. 2 (2024): Jurnal Abdimas Sangkabira, Juni 2024
Publisher : Program Studi Diploma III Akuntansi Fakultas Ekonomi dan Bisnis Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdimassangkabira.v4i2.1066

Abstract

Ujian berbasis komputer merupakan salah satu metode evaluasi yang semakin populer dalam dunia pendidikan. Ujian berbasis komputer memungkinkan proses evaluasi menjadi lebih efisien dan akurat. Guru dan siswa dapat dengan mudah mengakses soal-soal ujian, menjawabnya, dan mendapatkan hasil evaluasi secara langsung. Pelatihan ujian berbasis komputer merupakan kegiatan pengabdian masyarakat yang bertujuan untuk meningkatkan kompetensi guru SD YPPK Santo Petrus Argapura dalam mengelola ujian berbasis komputer. Metode pelatihan yang digunakan meliputi penyampaian materi, praktik langsung, dan evaluasi hasil belajar. Hasil evaluasi menunjukkan peningkatan signifikan dalam pemahaman guru terhadap teknologi ujian berbasis komputer serta kemampuan dalam mengelola ujian tersebut. Diharapkan pelatihan ini dapat memberikan kontribusi positif dalam peningkatan kualitas pendidikan di SD YPPK Santo Petrus Argapura.
Pemberdayaan Masyarakat dengan Mengajari Microsoft Word Bagi Anak Muda di Kampung Enggros, Kota Jayapura Tuhumena, Lolita; Hamzah, Hardi; Kuddi, Bobi Frans; Appa, Felycitiae E.; Papriani, Nada Pertiwi; Pattinaja, Yvonne I.; Tomasila, Leopold A.; Gea, Liyatin; Sumardi, Sitti Rosnafi’an; Mishbach, Imam; Umbekna, Sara; Paranoan, Nicea R.
Sipakaraya : Jurnal Pengabdian Masyarakat Vol 2 No 2 (2024): Sipakaraya : Jurnal Pengabdian Masyarakat
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/sipakaraya.v2i2.3694

Abstract

Pengabdian masyarakat dilaksanakan dengan tujuan meningkatkan pengetahuan anak-anak tentang penggunaan komputer dan pengenalan terhadap Microsot office yaitu Microsoft word di Kampung Enggros, Distrik Abepura, Kota Jayapura. Permasalahan yang terjadi yaitu anak-anak SD sampai dengan SMP belum semua mengenal tools yang ada di Microsoft word. Oleh sebab itu perlu untuk mengenalkan perangkat tersebut kepada mereka. Metode pelaksanaan pengabdian ini melalui tiga tahapan yaitu pertama pengenalan alat, kedua praktek dan ketiga sesi tanya jawab. Kegiatan pengabdian ini diberikan kepada anak sekolah pada jenjang pendidikan SD sampai dengan SMP yang melibatkan Ecodefender, Lantamal X, Dosen FMIPA Uncen, Mahasiswa/i dari Fakultas Teknik Jurusan Planologi serta Mahasiwa Ilmu Perikanan (IKP) dan SI (Sistem Informasi). Kegiatan yang dilakukan oleh Dosen FMIPA Uncen yaitu perihal pengajaran dan pendampingan tentang Microsfot Word kepada siswa/siswi SMP dan diadakan sebanyak dua kali dari bulan Maret sampai dengan April Tahun 2023.
KAJIAN PERILAKU MASYARAKAT PESISIR YANG MENGAKIBATKAN KERUSAKAN LINGKUNGAN SEKITAR EKOSISTEM MANGROVE DI PANTAI HAMADI KOTA JAYAPURA Tuhumena, Lolita Constantia; Umbekna, Sara; Rumahorbo, Basa T; Paranoan, Nicea Roona; Mandey, Vera K; Hehanussa, Kedswin G
BIOPENDIX: Jurnal Biologi, Pendidikan dan Terapan Vol 11 No 1 (2024): Biopendix: Jurnal Biologi, Pendidikan & Terapan
Publisher : Program Studi Pendidikan Biologi FKIP Unpatti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/biopendixvol11issue1page8-16

Abstract

Background : Environmental damage around the Hamadi coastal mangrove ecosystem, South Jayapura District, Jayapura City, which is caused by many human behavioral factors on the coast, one of which is due to tourism activities that throw away garbage so that it becomes dirty and the natural beauty is damaged. he waste has not been fully addressed effectively if the management is not carried out properly, which then becomes a serious threat to the sustainability of the mangrove ecosystem area near Hamadi Beach which is used as a tourist spot. Therefore, it is necessary to conduct a study of the behavior of the community living around the area and utilizing the area. Method: The researcher used 30 respondents as samples and conducted in June to August 2024 on Hamadi Beach, South Jayapura District, Jayapura City using the data usage technique in this study is Simple Random Sampling, which is carried out randomly from members of the population without considering the level of the population. The data that has been obtained is analyzed using the Likert Scale. Results: Respondents were dominated by men, productive age 36-45 years old, predominantly high school education, fishermen, who had an income Rp 1.000.000 -Rp2.000.000. Socio-economic characteristics describe respondents who live, sell and travel around the area. The characteristics of the respondents were seen from the community's perception of the knowledge of the function of the mangrove ecosystem (3,39) including the category strongly agree, Public Perception of Environmental Conditions for the Growth of Mangrove Ecosystems (3,5) Including the category of strongly agreeing, public perception of the utilization of mangrove ecosystems (3,14) including the category of agree. Conclusion: The development of science about public perception that results in environmental damage to the mangrove ecosystem on Hamadi beach needs to be known in early countermeasures.
Performance of K-Means and DBSCAN Algorithm in Clustering Gross Regional Domestic Product Wororomi, Jonathan K.; Allo, Caecilia Bintang Girik; Paranoan, Nicea Roona; Gusthvi, Wickly
Journal of International Conference Proceedings Vol 6, No 5 (2023): 2023 UICEB Papua Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i5.2710

Abstract

Gross Regional Domestic Product (GRDP) is one of important indicator to determine the economic conditions of a region. GRDP are obtained from sum of value added produced by all unit of production in a region. This study use GRDP by production approach that grouped into seventeen categories of Industry. The government always put the big efforts to increase the economic growth after Covid-19 pandemic. According publication of BPS - Statistics Indonesian, in the year of 2021 and 2022 it’s growth between 3.70% and 5.31%. The aim of these study are determined the cluster GDRB based on province in Indonesia at current prices and analyses the performance of the cluster method. The results showed that by using the DBSCAN, two clusters were formed and one province can be detected as an outlier. On the other hands, performance of the method by K-Means showed two clusters. The silhouette value using K-Means is higher than the DBSCAN. For these case, the performance of K-Means is more appropriate than DBSCAN to use in clustering province in Indonesia based on GRDP at Current Market Prices. Moreover, performance of DBSCAN shows more sensitive on outliers detection.
Co-Authors Albertus Girik Allo Allo, Caecilia Bintang Girik Allo, Cecilia Bintang Girik Appa, Felycitiae E. Aryanto Aryanto Ayub Sahala Gultom B Fitriya, Winda Ade Basa T Rumahorbo Battu, Yudistira S. Bobi Frans Kuddi Boli, Elisabert Bre Caecilia Bintang Girik Allo Daniel Z.K. Wambrauw Deppa Ringgi’ Diana M. Abulais Efray Wanimbo Eygner Talakua FEBY SERU Felycitae Ekalaya Appa Frans Augusthinus Asmuruf Friyuanita Lubis Girik Allo , Caecilia Bintang Gunawan, Vincentius Abdi Gusthvi, Wickly Hamzah, Hardi Hardi Hamzah Haryati, Kristina Hehanussa, Kedswin Gerson Himawan Himawan Imam Mishbach Jonathan k. Wororomi Karisoh, Gabriela O. Kobak, Unyil Leopold A. Tomasila Liyatin Gea Lolita Tuhumen Lolita Tuhumena Mandey, Vera Kostansie Mentansan , George Muhammad Hisyam Nada Pertiwi Papriani Nazal, Muhammad Asghar Numberi, Yulindra Margaretha Nur Fadilah Bakri Papriani, Nada Pertiwi Pattinaja, Yvonne I. Pattipeilohy, Christian Ernsz Paulangan, Yunus P. Payapo, Muhammad Zia Ulhaq Pirhel, Pirhel Pisi Bethania Titalessy Popi Ida Laila Ayer Putra, Leonardus Sandy Ade Rachim , Armansyah Ramadei, Yohana RR. Ella Evrita Hestiandari Santinia Andiva Pramesti Sara Umbekna Sara Umbekna Sitti Rosnafi’an Sumardi Sonbait , Lukas Yowel Suarni. S Tomasila, Leopold A. Tommi Tommi, Tommi Tubur , Herman Wafom Tuhumena, Lolita Constantia Umbekna , Sara Umbekna, Sara Uria , Darmawanto Wambrauw, Daniel Z.K. Way, Jufentus Ronaldo Widati , Agatha Wahyu Winda A F Butar butar Winda Ade Fitriya B Yofreds Tanamal Yulindra M. Numberi Yuminarti , Umi