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Pengukuran Produktivitas dengan Menggunakan Metode OMAX dan Fault Tree Analysis di Bagian EOL (End Of Line) Vera Devani; Nurul Azmi; Aditiya Mario Zai Putra
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2022: SNTIKI 14
Publisher : UIN Sultan Syarif Kasim Riau

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

Abstract

PT. NM merupakan perusahaan yang bergerak dalam bidang subkontraktor semikonduktor. Permasalahan perusahaan adalah tidak tercapainya target produksi. Tujuan penelitian ini adalah untuk menentukan rasio produktivitas, indeks performansi, indeks produktivitas dan menentukan penyebab turunnya tingkat produktivitas. Metoda OMAX merupakan suatu sistem pengukuran  produktivitas parsial dengan menggunakan kriteria produktivitas yang objektif. Fault Tree Analysis merupakan metode untuk menganalisis, menampilkan dan mengevaluasi kegagalan di dalam sebuah sistem. Berdasarkan hasil pengukuran, rasio terendah terdapat pada rasio 3 dengan skor 34 dan rasio tertinggi terdapat pada rasio 8 dengan skor 48. Untuk indikator performansi didapatkan indikator terendah pada bulan Oktober  dengan nilai 215 dan indikator tertinggi pada bulan Desember  dengan nilai 507. Untuk indeks produtivitas didapatkan nilai indeks terendah pada bulan Juli  dengan nilai -39,74% dan nilai indeks tertinggi pada bulan Desember dengan nilai 59,43%. Penyebab terjadinya penurunan produktivitas perusahaan adalah tingginya ketidakhadiran dan ketidakdisplinan karyawan bekerja.
Prediksi Penjualan Produk Unilever Menggunakan Metode Regresi Linear Anthony Anggrawan; Hairani Hairani; Nurul Azmi
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2416

Abstract

Barokah Shop is a retail store that sells various basic necessities for daily needs. Too much inventory will result in losses such as storage costs and the possibility of a decrease in the quality of goods. On the other hand, a small amount of inventory will reduce a larger profit. This study aims to build a web-based Unilever sales prediction system using a simple linear regression method. Testing the accuracy of the prediction results of sales of Unilever products using MEA and MAPE to see the level of error in the prediction results. The dataset uses Unilever product sales data for 15 months, from January 2021 to March 2022. The dataset is divided into 12 months as training data and 3 months as testing data. Prediction results in the next 3 periods of each type of product produce the same value between the system results and the results of manual linear regression calculations. Testing the error rate on the prediction results for 3 periods, namely January to March 2022, each Ax Deodorant, Bango Kecap, Buavita, Citra Lotion, Citra Soap, Clear Shampoo, Sariwangi, Sunsilk Conditioner, Vixal and Wall's Ice Cream products belong to the category of very accurate forecasting results. With the smallest MAPE value in Sunsilk Conditioner products of 1%. Thus, the linear regression method is very accurate for predicting sales of Unilever types goods.
Constraints in Utilizing Local Legend in Strengthening Literature Movement of Elementry School Students in Aceh Besar Asriani Asriani; Cut Fauziah; Rini Nurul Amla; Nurul Azmi; Junaidi Junaidi
International Conference on Multidisciplinary Research Vol 5, No 1 (2022): ICMR
Publisher : Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/pic-mr.v5i1.5256

Abstract

The use of local legends is very good in strengthening the student literacy movement. This study aims to describe the obstacles in the use of local legends in strengthening the literary literacy movement of elementary school students in Aceh Besar District. This type of research includes a qualitative description. The data was obtained through direct observation of the availability of information about local legends in Aceh Besar District, such as Batu Bertutup, Eumpee Buno, Mon Twi Patong, Amat Rhang Manyang and Asal-Usul Gunung Tiga. Based on the results of the study, several obstacles were found in the use of local legends, namely (1) loose customary ties in society and the indifference of the younger generation to folk legends; (2) local legend books have not been recorded yet; (3) lack of concern for and pride in local legends; (4) generally storytellers are old and have died. Keywords: Constraints, Utilization, Local Legends, Literary Literacy Movement
Enhancement of Narrative Writing Based on Local Wisdom Eli Nurliza; Erfinawati Erfinawati; Nurul Azmi; Nursafiah Nursafiah
International Conference on Multidisciplinary Research Vol 5, No 1 (2022): ICMR
Publisher : Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/pic-mr.v5i1.5261

Abstract

The purpose of this research is to improve the creative writing skills of junior high school student level through learning based on local wisdom. The method used in this research is the research and development method. The results showed that students' creative writing abilities increased if using the material and learning process used local wisdom-based learning. Local wisdom-based learning will make it easier for students to receive the knowledge gained through the learning process. Keywords: Narrative Writing, Local Wisdom, Creative Writing
SOCIAL PROBLEMS IN EKA KURNIAWAN’S NOVEL CANTIK ITU LUKA Nurul Azmi; M. Manugeren; Purwarno Purwarno
JOURNAL OF LANGUAGE Vol 5, No 1: May 2023
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jol.v5i1.7022

Abstract

The research is related to social problems. People's lives are actually changing with the times. In the process of the changing, sometimes unexpected conditions arise or should not occur. This unexpected condition gradually becomes a polemic and has a negative impact on people's lives. This condition is called a social problem. Social problems cannot be ignored because they can disrupt global economic and political stability. The discussion of this research focuses on two social problems: poverty and prostitution. Poverty is the condition of a person who has no wealth, lacks, or has very low income and of course cannot fulfill his daily needs; while poverty is also closely related to prostitution. One can become a prostitute because of poverty or circumstances. Prostitution is a sexual activity outside the institution of marriage and is generally carried out by women. These two social problems can be found not only in the novel but also in the real world; so the sociology of literature is used as an approach in this research. The whole research is conducted using a qualitative descriptive method because the focus of the research is related to social problems. The results of the analysis show that this novel provides two descriptions of social problems: poverty and prostitution and these two social problems are clearly illustrated through the data obtained from the novel.
Analisis Kondisi Genangan Air dan Pengaruhya Terhadap Kejadian Penyakit DBD pada Anak-Anak di Kampung Nelayan Meutia Nanda*; Cindy Claudia*; Nurul Azmi; Tasya Amalia; Mukhriza Harahap; Nurhasanah Nurhasanah; Nurhabibah Nasution
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 8, No 3 (2023): Juni, socio-economics, community law, cultural history and social issues
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v8i3.25719

Abstract

Demam Berdarah Dengue atau DBD adalah penyakit yang ditularkan oleh nyamuk yang terjadi di daerah tropis dan subtropis di dunia dan disebarkan melalui gigitan nyamuk pembawa virus Aedes aegypti. DBD merupakan penyakit menular yang sulit diatasi di Indonesia, meskipun pemerintah telah melakukan berbagai upaya untuk mengobati penyakit tersebut. Salah satu bentuk programnya adalah pemberantasan sarang nyamuk (PSN) melalui pemantauan tempat penampungan air (TPA). Tujuan dari penelitian ini adalah untuk mengetahui hubungan jumlah genangan air dan lama penggenangan dengan kualitas reproduksi jentik Aedes aegypti dan jumlah penyakit DBD.Penelitian ini dilakukan dengan menggunakan data kuantitatif dan didukung oleh data sekunder dari Puskesmas Belawan, serta data yang didapat dari hasil penelitian. Hasil analisis menunjukkan bahwa nyamuk aedes aegypti bertelur di permukaan air tenang ataupunair lindi. Pada kasus ini sendiri larva tersebut berkembang biak dengan baik karena didukung oleh suhu, ketersediaan pangan dalam air serta kondisi sanitasi dasar yang buruk. Pada penelitian ini didapatkan hasil bahwa genangan air dan lama tergenang sangat mempengaruhikualitas hidup larva dari genus aedes aegypty dan mempengaruhi jumlah peningkatan kasus dbd, selain itu tingkat pengetahuan yang rendah juga mempercepat laju peningkatan kasus penyakit ini.
PENYELIDIKAN WEAK ZONE MENGGUNAKAN METODE WELL LOGGING DIKECAMATAN MONTASIK DAN INGIN JAYA, ACEH BESAR AMSIR AMSIR; ZAKIA MASRURAH; NURUL AZMI; MUHAMMAD SYUKRI; CUT ZAHARA ROZA
Karst: Jurnal Pendidikan Fisika dan Terapannya Vol 6 No 2 (2023): Karst : Jurnal Pendidikan Fisika dan Terapannya
Publisher : Program Studi Pendidikan Fisika FKIP Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/karst.v6i2.2078

Abstract

Weak zone investigation using well logging method in Montasik and Ingin Jaya sub-districts, Aceh Besar has been conducted at ten borehole points. In this study, the well logging method was used to obtain and determine the presence of weak zones in ten boreholes in Aceh Besar District. The subsurface data obtained from this well logging method is in the form of cutting data, namely subsurface rock lithology and electrical logging data, namely resistivity log values. Based on the results of data analysis and interpretation, these ten boreholes have weak zones and the most significant ones are found at four borehole points, namely boreholes T1, T2, T5, and T10. Point T1 is located at a depth of 76 - 106 m, which is a clay layer with a resistivity value of 105 - 289 Ωm. Point T2 is at a depth of 45 - 57 m, which is a sand layer with a resistivity value of 32 - 38 Ωm. Point T5 is at a depth of 0 - 40 m, which is a clay layer with a resistivity value of 26 - 184 Ωm. Point T10 is at a depth of 60 - 62.5 m and 62.5 - 80 m, namely there are layers of sand and passive clay with resistivity values of 3 - 117 Ωm and 3 - 111 Ωm. keywords: Aceh Besar, resistivity value, Well Logging, Weak Zone
Penilaian Kinerja Berbasis Rasio Keuangan Pada PT. Bank Mandiri (Persero) Tbk Tahun 2020 – 2022 Nurul Azmi; Grace Cleosa Panesa Pelmelay
JURNAL MANAJEMEN DAN BISNIS EKONOMI Vol. 2 No. 3 (2024): July : JURNAL MANAJEMEN DAN BISNIS EKONOMI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jmbe-itb.v2i3.2122

Abstract

This research aims to determine and analyze the financial performance of PT. Bank Mandiri (Persero) Tbk uses liquidity, solvency and profitability ratios measured by industry standards. The analytical method used in this research is descriptive quantitative. The data source in this research is the annual financial report of PT. Bank Mandiri (Persero) Tbk during 2020-2022. The research results show that the overall analysis of the average value of the current ratio and quick ratio shows that the condition is not good because the ratio is below industry standards, namely 200% and 150%. For analysis of the average value of the Debt to Equity Ratio, it shows that the condition is not good because the ratio is above the industry standard of 90%. Meanwhile, the Debt to Assets Ratio shows good condition because the ratio is below the industry standard of 35%. For the analysis of the average ROA and ROE, the results are not good because the ratio is below the industry standard, namely 30% and 40%. Meanwhile, ROI shows good results because the ratio is above the industry standard, namely 30%.
Klasifikasi Status Gizi Balita Menggunakan Algoritma K-Nearest Neighbor (KNN) Hafsah. HS; Nurul Azmi; Hazriani, Hazriani; Yuyun, Yuyun
Prosiding SISFOTEK Vol 7 No 1 (2023): SISFOTEK VII 2023
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Nutrition is an important component contained in food which includes carbohydrates, protein, vitamins, minerals, fat and water which are needed by the body for growth, development and maintenance which are used directly by the body to repair body tissue. Nutritional needs are an important factor in the growth and development of children, especially children aged under five years (toddlers), because what happens in the first five years determines their growth and development year after year. To achieve good growth and development, strong nutrition is needed. Assessment of the nutritional status of toddlers can be determined through human body measurements known as anthropometry. The reference standards for toddler nutritional status are Body Weight according to Age (WW/U) which describes the child's relative weight for age, Body Weight according to Height (WW/TB) which describes whether the child's weight is in accordance with his height growth and Height according to Age (TB/U) describes a child's height growth based on age. The method used to determine the nutritional status of toddlers is the KNN method, which is to find the closest distance between the evaluated data and a number of K neighbors closest to the test data. Toddler nutrition data uses 4 classifications, namely insufficient, normal, poor and more. The amount of data used in this research was 170 data with a data composition of 90% consisting of 150 training data and 10% testing data totaling 20 data. Data that is normalized using Z-Score gets an accuracy of 95%, class precision of 98.08% and class recall of 93.75%, data normalized using the min-max technique gets an accuracy of 85%, class precision of 95.00% and class recall of 79.17%, Meanwhile, KNN modeling without normalization produces an accuracy of 80%, precision of 82.4% and a class recall value of 75%.
Penerapan Metode K-Means Clustering Dalam Mengelompokkan Data Penjualan Obat pada Apotek M23 Nurul Azmi; Hafsah HS; Yuyun, Yuyun; Hazriani, Hazriani
Prosiding SISFOTEK Vol 7 No 1 (2023): SISFOTEK VII 2023
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Planning for the need for the right medicines can make the procurement of medicines efficient and effective so that the medicines can be sufficiently available as needed and can be obtained when needed. At the current M23 Pharmacy, sometimes there is a shortage or overstock of medicines. To overcome these problems a data mining method is applied by analyzing drug use to produce information that can be used as drug inventory control and planning. The method used in this study is the K-Means method. The K-Means clustering method aims to group data that has the same characteristics into the same cluster and data that has different characteristics are grouped into other clusters. As for determining the best number of clusters using the Davies Bouldin Index (DBI) method. The results of this study determined that the best number of clusters was 2 clusters, the drug data grouping consisted of cluster 1 with low drug use consisting of 144 types of drugs and cluster 2 with high drug use consisting of 6 types of drugs.
Co-Authors Aditiya Mario Zai Putra Agista Ariyani Saripudi Ahmad Fauzul Hakim Ahmad Muhtadi AMSIR AMSIR Anthony Anggrawan Anwar Apriliani Apriliani Asriani Asriani Ariani Asriani Asriani Auzora Vidya Nataha Baderi Cindi Pricilia Cindy Claudia* Cut Faizah Cut Fauziah Cut Nyakdhin CUT ZAHARA ROZA DEDE RUSLAN Deyana Manapo Dina Hidayati Dinda Saputri Ekawati, Dessy Eli Nurliza Erfinawati Erfinawati Ersi Sisdianto Faisal Faisal Faisal Fatikah Rahma Dewi Feny Nursyahwa Aulia Tarigan Fitrahwaty Fitrahwaty Fitrahwaty, Fitrahwaty Fitri Nurhaliza Ridwan Grace Cleosa Panesa Pelmelay Hafsah HS Hafsah. HS Hairani Hairani Hayati Hazriani, Hazriani Helmi Apriliyatmi Hapwiyah Heni Pujiastuti Hery Syahrial Ichsan Ichsan Indani Indani Indriana Dachi Indriana Dachi Isbadar Nursit Ismawirna Junaidi Junaidi Junaidi Junaidi Khairani Alawiyah Matondang Lailani Fitria Lazim. N Lazim. N Lisa Rahmania Lora Theresia M. Manugeren Margaretha Sembiring Maslena Maslena Meutia Nanda* MIFTAHUL JANNAH Muhammad Zubaidi Mujiburrahman Mujiburrahman Mukhlis Mukhlis Mukhlish Muhammad Nur Mukhriza Harahap Munardi Munardi Munawarah Muspiroh, Novianti Mutia Budhi Utami Nayla Husna Afila Nazli Hasan Nur Anisa Ali Nur Asyah Nur Laila Meilani Nuraini Nuraiza Nuraiza Nurhabibah Nasution Nurhasanah Nurhasanah Nurliza, Eli Nursafiah, Nursafiah Puji Prastowo Purwarno, Purwarno Rajab Bahry Rajudin Ratna Mutia Ria Yulia Gloria Rini Nurul Amla Rozana Putri RR. Ettie Rukmigarsari Rusmin Husain Saadiah Saadiah saryati Siti Komariah Siti Naila Fauzia Suci Rakhmawati Tasya Amalia Vera Devani Vera Wardani Wisman Hadi Yofita Intan Putri Kasih Yosua Bintang Halomoan Yunasfi Djayus Yuyun, Yuyun Zakia Masrurah Zariul Antosa Zaskia Dyayu Larasati