Atika Nurani Ambarwati
Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

A completely randomized experimental design with 3 factors on tempe resistance Afifah Dilla Indrawati Haryono; Atika Nurani Ambarwati
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 12 No 2 (2025): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v12i2.1539

Abstract

Tempe produced in Indonesia generally uses soybeans fermented with microorganisms as the main raw material. This fermented food is liked by many people from various levels of society because of its taste and protein and carbohydrate content. However, tempe can only last for 1-2 days. The average per capita consumption of tempe per week in 2023 increased by 0.143 kg from the previous year. The Central Statistics Agency revealed that the supply of around 335 thousand tons of local soybeans from 2.7 million tons of national soybean needs. The need for soybeans for tempe reaches 70% of the total national need, further strengthening the fact that the amount of local soybeans is decreasing so that the country must import to meet the supply of soybean needs. In the city of Semarang, tempe is made from imported soybeans. Course, other types of local beans are substitutes. The demand for tempe production continues to increase, but some producers have not been able to maintain the quality and durability of tempe. The 3-factor design helps to determine the treatment factors that affect the durability of tempe. Based on the experiment, the durability of tempe was influenced by factors of beans, inoculum, fermentation, bean-inoculum interaction, beans-fermentation, and beans-inoculum-fermentation. Cowpea tempe with yeast inoculum fermented for 24 hours had the best durability
Pelatihan Berbasis Praktik From Data to Decision: Peningkatan Literasi Data dan Kapasitas Pengambilan Keputusan Strategis Karyawan pada Perusahaan Properti dan Ritel SR Land Group Rowiyani Rowiyani; Nurul Huda; Deden Istiawan; Atika Nurani Ambarwati; Wulan Bhakti Pertiwi
CARADDE: Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 1 (2026): Agustus
Publisher : Ilin Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31960/caradde.v9i1.3367

Abstract

This community service activity aims to improve data literacy and strategic decision-making capacity among employees of SR Land Group (SRGroup), a business group engaged in property development and shopping-mall management with business units spread across several cities. The activity employed a one-group pretest-posttest evaluation design combined with a practice-based training approach (experiential learning), comprising interactive lectures, demonstrations, hands-on practice, case studies, and a capstone project. The training involved 62 employees from eight business units and various job levels, from staff to board of directors, assigned by SRGroup's management and HR & GA division. Effectiveness was measured through pre-test and post-test questionnaires and a Google Form-based satisfaction survey completed by 39 participants (62.9% response rate) and analyzed using descriptive quantitative statistics. Results showed an increase in the average score from 69.7 (pre-test) to 93.2 (post-test), an improvement of approximately 33.7%. Overall satisfaction was high, with 87.2% of participants reporting being satisfied to very satisfied. Participants were also able to produce simple analytical dashboards using Google Looker Studio as the capstone project output. These findings indicate that practice-based training has the potential to improve data literacy and readiness for data-driven decision-making among cross-divisional employees, although the lack of a comparison group limits causal generalization. The novelty of this activity lies in its cross-divisional, integrated data-literacy training approach implemented within a medium-to-large property and retail company, a segment rarely targeted by community-based data literacy programs.
Pengelompokan Kebersihan Stasiun Wilayah Daop 4 Semarang Berdasarkan Nilai SLA Menggunakan Analisis Cluster dengan Metode K-Means Adiyah Mahiruna; Heni Sulistyowati; Atika Nurani Ambarwati
Proceeding of Informatics Collaborations and Dessimenation Meeting Vol. 1 No. 1 (2025)
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

Kereta api merupakan salah satu moda transportasi nasional yang mempunyai karakteristik kapasitas angkutan massal, mempunyai keunggulan tersendiri, dan terintegrasi dengan moda transportasi lainnya. Kereta api dalam hal penggunaan teknologi sudah sangat mengikuti, walaupun teknologi sangat penuh resiko dalam hal integritas [1]. Stasiun merupakan tempat operasional kereta api, oleh karena itu stasiun yang bersih dan nyaman akan memberikan kenyamanan bagi masyarakat. memberikan kesan positif kepada penumpang, dengan Penelitian ini bertujuan untuk mengetahui pola pengelompokan stasiun di kawasan Daop 4 Semarang berdasarkan tingkat kebersihannya. Sehingga tidak ada kesenjangan kebersihan di setiap stasiun di kawasan Daop 4 Semarang. Metode yang digunakan dalam penelitian ini adalah algoritma K-Means, yaitu metode pengelompokan data yang membagi data menjadi beberapa cluster secara iteratif berdasarkan karakteristik yang serupa. Data yang digunakan dalam penelitian adalah data SLA (Service Level Agreement) kebersihan yang diambil setiap hari kemudian dijumlahkan dan kemudian digunakan untuk clustering stasiun di wilayah Daop 4 Semarang. Hasil penelitian menunjukkan jumlah cluster sebanyak 4 cluster dengan karakteristik pada cluster 1 lebih tinggi pada ketiga variabel pada cluster 2 dan 3 dengan masing-masing cluster berada pada rata-rata, dan pada cluster 4 tidak mempunyai nilai yang rendah untuk cluster tersebut.